Overview

Brought to you by YData

Dataset statistics

Number of variables109
Number of observations2927
Missing cells29687
Missing cells (%)9.3%
Total size in memory2.4 MiB
Average record size in memory872.0 B

Variable types

Numeric108
Text1

Alerts

Var1 has 334 (11.4%) missing values Missing
Var2 has 313 (10.7%) missing values Missing
Var3 has 313 (10.7%) missing values Missing
Var4 has 313 (10.7%) missing values Missing
Var5 has 313 (10.7%) missing values Missing
Var6 has 313 (10.7%) missing values Missing
Var7 has 313 (10.7%) missing values Missing
Var8 has 313 (10.7%) missing values Missing
Var9 has 313 (10.7%) missing values Missing
Var10 has 313 (10.7%) missing values Missing
Var11 has 313 (10.7%) missing values Missing
Var12 has 313 (10.7%) missing values Missing
Var22 has 327 (11.2%) missing values Missing
Var23 has 327 (11.2%) missing values Missing
Var24 has 327 (11.2%) missing values Missing
Var25 has 327 (11.2%) missing values Missing
Var26 has 327 (11.2%) missing values Missing
Var27 has 327 (11.2%) missing values Missing
Var28 has 327 (11.2%) missing values Missing
Var29 has 327 (11.2%) missing values Missing
Var30 has 327 (11.2%) missing values Missing
Var31 has 327 (11.2%) missing values Missing
Var32 has 327 (11.2%) missing values Missing
Var33 has 327 (11.2%) missing values Missing
Var34 has 327 (11.2%) missing values Missing
Var35 has 327 (11.2%) missing values Missing
Var36 has 327 (11.2%) missing values Missing
Var37 has 327 (11.2%) missing values Missing
Var38 has 327 (11.2%) missing values Missing
Var39 has 327 (11.2%) missing values Missing
Var40 has 327 (11.2%) missing values Missing
Var41 has 327 (11.2%) missing values Missing
Var42 has 327 (11.2%) missing values Missing
Var43 has 327 (11.2%) missing values Missing
Var44 has 327 (11.2%) missing values Missing
Var45 has 327 (11.2%) missing values Missing
Var46 has 327 (11.2%) missing values Missing
Var47 has 327 (11.2%) missing values Missing
Var48 has 327 (11.2%) missing values Missing
Var49 has 327 (11.2%) missing values Missing
Var50 has 327 (11.2%) missing values Missing
Var51 has 327 (11.2%) missing values Missing
Var52 has 327 (11.2%) missing values Missing
Var53 has 327 (11.2%) missing values Missing
Var54 has 327 (11.2%) missing values Missing
Var55 has 327 (11.2%) missing values Missing
Var56 has 327 (11.2%) missing values Missing
Var57 has 327 (11.2%) missing values Missing
Var58 has 327 (11.2%) missing values Missing
Var59 has 327 (11.2%) missing values Missing
Var60 has 327 (11.2%) missing values Missing
Var61 has 327 (11.2%) missing values Missing
Var62 has 327 (11.2%) missing values Missing
Var63 has 327 (11.2%) missing values Missing
Var64 has 327 (11.2%) missing values Missing
Var65 has 327 (11.2%) missing values Missing
Var66 has 327 (11.2%) missing values Missing
Var67 has 327 (11.2%) missing values Missing
Var68 has 327 (11.2%) missing values Missing
Var69 has 327 (11.2%) missing values Missing
Var70 has 327 (11.2%) missing values Missing
Var71 has 327 (11.2%) missing values Missing
Var72 has 327 (11.2%) missing values Missing
Var73 has 327 (11.2%) missing values Missing
Var74 has 327 (11.2%) missing values Missing
Var75 has 327 (11.2%) missing values Missing
Var76 has 327 (11.2%) missing values Missing
Var77 has 327 (11.2%) missing values Missing
Var78 has 327 (11.2%) missing values Missing
Var79 has 327 (11.2%) missing values Missing
Var80 has 327 (11.2%) missing values Missing
Var81 has 327 (11.2%) missing values Missing
Var82 has 327 (11.2%) missing values Missing
Var83 has 327 (11.2%) missing values Missing
Var84 has 327 (11.2%) missing values Missing
Var85 has 327 (11.2%) missing values Missing
Var86 has 327 (11.2%) missing values Missing
Var87 has 327 (11.2%) missing values Missing
Var88 has 327 (11.2%) missing values Missing
Var89 has 327 (11.2%) missing values Missing
Var90 has 327 (11.2%) missing values Missing
Var91 has 327 (11.2%) missing values Missing
Var92 has 327 (11.2%) missing values Missing
Var93 has 327 (11.2%) missing values Missing
Var94 has 327 (11.2%) missing values Missing
Var95 has 327 (11.2%) missing values Missing
Var96 has 327 (11.2%) missing values Missing
Var97 has 327 (11.2%) missing values Missing
Var98 has 327 (11.2%) missing values Missing
Var99 has 327 (11.2%) missing values Missing
Var100 has 327 (11.2%) missing values Missing
Var21 is highly skewed (γ1 = 51.6174114) Skewed
Var22 is highly skewed (γ1 = 24.50702491) Skewed
Var56 is highly skewed (γ1 = 26.58970462) Skewed
Var84 is highly skewed (γ1 = 23.44126613) Skewed
uid has unique values Unique
Var2 has 2405 (82.2%) zeros Zeros
Var3 has 2303 (78.7%) zeros Zeros
Var4 has 2178 (74.4%) zeros Zeros
Var5 has 1905 (65.1%) zeros Zeros
Var6 has 1371 (46.8%) zeros Zeros
Var8 has 440 (15.0%) zeros Zeros
Var13 has 476 (16.3%) zeros Zeros
Var14 has 2076 (70.9%) zeros Zeros
Var15 has 77 (2.6%) zeros Zeros
Var17 has 56 (1.9%) zeros Zeros
Var18 has 37 (1.3%) zeros Zeros
Var19 has 644 (22.0%) zeros Zeros
Var21 has 1437 (49.1%) zeros Zeros
Var28 has 36 (1.2%) zeros Zeros
Var29 has 175 (6.0%) zeros Zeros
Var30 has 65 (2.2%) zeros Zeros
Var31 has 202 (6.9%) zeros Zeros
Var32 has 224 (7.7%) zeros Zeros
Var37 has 51 (1.7%) zeros Zeros
Var39 has 111 (3.8%) zeros Zeros
Var42 has 33 (1.1%) zeros Zeros
Var43 has 77 (2.6%) zeros Zeros
Var44 has 50 (1.7%) zeros Zeros
Var45 has 50 (1.7%) zeros Zeros
Var46 has 330 (11.3%) zeros Zeros
Var48 has 296 (10.1%) zeros Zeros
Var49 has 355 (12.1%) zeros Zeros
Var50 has 116 (4.0%) zeros Zeros
Var53 has 69 (2.4%) zeros Zeros
Var54 has 216 (7.4%) zeros Zeros
Var55 has 135 (4.6%) zeros Zeros
Var56 has 186 (6.4%) zeros Zeros
Var58 has 60 (2.0%) zeros Zeros
Var59 has 71 (2.4%) zeros Zeros
Var60 has 73 (2.5%) zeros Zeros
Var61 has 66 (2.3%) zeros Zeros
Var62 has 90 (3.1%) zeros Zeros
Var63 has 149 (5.1%) zeros Zeros
Var64 has 49 (1.7%) zeros Zeros
Var65 has 66 (2.3%) zeros Zeros
Var66 has 51 (1.7%) zeros Zeros
Var67 has 87 (3.0%) zeros Zeros
Var68 has 150 (5.1%) zeros Zeros
Var69 has 158 (5.4%) zeros Zeros
Var70 has 56 (1.9%) zeros Zeros
Var71 has 141 (4.8%) zeros Zeros
Var72 has 156 (5.3%) zeros Zeros
Var73 has 185 (6.3%) zeros Zeros
Var74 has 160 (5.5%) zeros Zeros
Var76 has 64 (2.2%) zeros Zeros
Var79 has 55 (1.9%) zeros Zeros
Var80 has 63 (2.2%) zeros Zeros
Var81 has 58 (2.0%) zeros Zeros
Var82 has 183 (6.3%) zeros Zeros
Var83 has 111 (3.8%) zeros Zeros
Var84 has 209 (7.1%) zeros Zeros
Var85 has 329 (11.2%) zeros Zeros
Var86 has 138 (4.7%) zeros Zeros
Var87 has 288 (9.8%) zeros Zeros
Var88 has 281 (9.6%) zeros Zeros
Var90 has 47 (1.6%) zeros Zeros
Var91 has 42 (1.4%) zeros Zeros
Var92 has 413 (14.1%) zeros Zeros
Var93 has 95 (3.2%) zeros Zeros
Var94 has 54 (1.8%) zeros Zeros
Var95 has 119 (4.1%) zeros Zeros
Var96 has 243 (8.3%) zeros Zeros
Var97 has 49 (1.7%) zeros Zeros
Var98 has 238 (8.1%) zeros Zeros

Reproduction

Analysis started2025-05-12 09:49:46.566103
Analysis finished2025-05-12 09:49:49.281692
Duration2.72 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

uid
Real number (ℝ)

Unique 

Distinct2927
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1464
Minimum1
Maximum2927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:49:49.863904image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile147.3
Q1732.5
median1464
Q32195.5
95-th percentile2780.7
Maximum2927
Range2926
Interquartile range (IQR)1463

Descriptive statistics

Standard deviation845.0964442
Coefficient of variation (CV)0.5772516695
Kurtosis-1.2
Mean1464
Median Absolute Deviation (MAD)732
Skewness0
Sum4285128
Variance714188
MonotonicityStrictly increasing
2025-05-12T09:49:50.492366image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2927 1
 
< 0.1%
1 1
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
Other values (2917) 2917
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
ValueCountFrequency (%)
2927 1
< 0.1%
2926 1
< 0.1%
2925 1
< 0.1%
2924 1
< 0.1%
2923 1
< 0.1%

psychopathy
Real number (ℝ)

Distinct33
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.975819003
Minimum1
Maximum4.666666667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:49:51.114966image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.111111111
Q11.555555556
median1.888888889
Q32.333333333
95-th percentile3
Maximum4.666666667
Range3.666666667
Interquartile range (IQR)0.777777777

Descriptive statistics

Standard deviation0.5908167699
Coefficient of variation (CV)0.2990237309
Kurtosis0.333569998
Mean1.975819003
Median Absolute Deviation (MAD)0.444444444
Skewness0.6539602724
Sum5783.222222
Variance0.3490644556
MonotonicityNot monotonic
2025-05-12T09:49:51.802765image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1.888888889 228
 
7.8%
1.777777778 227
 
7.8%
1.444444444 213
 
7.3%
2 213
 
7.3%
2.111111111 201
 
6.9%
1.666666667 197
 
6.7%
1.555555556 180
 
6.1%
2.222222222 161
 
5.5%
1.333333333 155
 
5.3%
1.222222222 150
 
5.1%
Other values (23) 1002
34.2%
ValueCountFrequency (%)
1 68
 
2.3%
1.111111111 114
3.9%
1.222222222 150
5.1%
1.333333333 155
5.3%
1.444444444 213
7.3%
ValueCountFrequency (%)
4.666666667 1
 
< 0.1%
4.444444444 1
 
< 0.1%
4.333333333 2
0.1%
4.222222222 1
 
< 0.1%
4.111111111 3
0.1%

machiavellianism
Real number (ℝ)

Distinct39
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.792552101
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:49:52.365922image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q12.4
median2.8
Q33.2
95-th percentile3.8
Maximum5
Range4
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation0.6011204041
Coefficient of variation (CV)0.2152584383
Kurtosis-0.07276038666
Mean2.792552101
Median Absolute Deviation (MAD)0.4
Skewness0.06557274672
Sum8173.8
Variance0.3613457402
MonotonicityNot monotonic
2025-05-12T09:49:52.795877image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
2.6 222
 
7.6%
2.7 197
 
6.7%
3.1 184
 
6.3%
2.5 176
 
6.0%
2.8 169
 
5.8%
3 167
 
5.7%
2.9 166
 
5.7%
2.4 163
 
5.6%
3.2 147
 
5.0%
3.3 142
 
4.9%
Other values (29) 1194
40.8%
ValueCountFrequency (%)
1 5
 
0.2%
1.1 2
 
0.1%
1.2 1
 
< 0.1%
1.3 10
0.3%
1.4 16
0.5%
ValueCountFrequency (%)
5 1
 
< 0.1%
4.7 2
 
0.1%
4.6 5
0.2%
4.5 3
0.1%
4.4 5
0.2%

narcissism
Real number (ℝ)

Distinct35
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.726644649
Minimum1
Maximum4.777777778
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:49:53.079538image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.666666667
Q12.333333333
median2.777777778
Q33.111111111
95-th percentile3.777777778
Maximum4.777777778
Range3.777777778
Interquartile range (IQR)0.777777778

Descriptive statistics

Standard deviation0.6110131072
Coefficient of variation (CV)0.2240897461
Kurtosis-0.2430535729
Mean2.726644649
Median Absolute Deviation (MAD)0.444444444
Skewness0.02061827678
Sum7980.888889
Variance0.3733370171
MonotonicityNot monotonic
2025-05-12T09:49:53.295724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
3 215
 
7.3%
2.666666667 214
 
7.3%
2.555555556 206
 
7.0%
2.888888889 201
 
6.9%
2.777777778 187
 
6.4%
2.444444444 178
 
6.1%
3.222222222 171
 
5.8%
2.333333333 169
 
5.8%
3.111111111 168
 
5.7%
2.111111111 134
 
4.6%
Other values (25) 1084
37.0%
ValueCountFrequency (%)
1 2
 
0.1%
1.111111111 1
 
< 0.1%
1.222222222 12
 
0.4%
1.333333333 21
0.7%
1.444444444 30
1.0%
ValueCountFrequency (%)
4.777777778 1
 
< 0.1%
4.666666667 1
 
< 0.1%
4.555555556 2
 
0.1%
4.444444444 2
 
0.1%
4.333333333 9
0.3%

openness
Real number (ℝ)

Distinct13
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.510420225
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:49:53.593441image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q15
median5.5
Q36.5
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.096338931
Coefficient of variation (CV)0.198957409
Kurtosis0.2109886123
Mean5.510420225
Median Absolute Deviation (MAD)1
Skewness-0.7233939156
Sum16129
Variance1.201959051
MonotonicityNot monotonic
2025-05-12T09:49:53.785434image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
6 562
19.2%
6.5 505
17.3%
5.5 449
15.3%
5 369
12.6%
7 345
11.8%
4.5 284
9.7%
4 216
 
7.4%
3.5 96
 
3.3%
3 56
 
1.9%
2.5 27
 
0.9%
Other values (3) 18
 
0.6%
ValueCountFrequency (%)
1 4
 
0.1%
1.5 1
 
< 0.1%
2 13
 
0.4%
2.5 27
0.9%
3 56
1.9%
ValueCountFrequency (%)
7 345
11.8%
6.5 505
17.3%
6 562
19.2%
5.5 449
15.3%
5 369
12.6%

conscientiousness
Real number (ℝ)

Distinct13
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.674410659
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:49:53.950220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q13.5
median4.5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.389678946
Coefficient of variation (CV)0.2972950062
Kurtosis-0.6565737938
Mean4.674410659
Median Absolute Deviation (MAD)1
Skewness-0.271499075
Sum13682
Variance1.931207573
MonotonicityNot monotonic
2025-05-12T09:49:54.216291image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4 381
13.0%
4.5 373
12.7%
6 365
12.5%
5.5 329
11.2%
5 322
11.0%
6.5 255
8.7%
3.5 254
8.7%
3 190
6.5%
7 159
5.4%
2.5 154
5.3%
Other values (3) 145
 
5.0%
ValueCountFrequency (%)
1 13
 
0.4%
1.5 43
 
1.5%
2 89
3.0%
2.5 154
5.3%
3 190
6.5%
ValueCountFrequency (%)
7 159
5.4%
6.5 255
8.7%
6 365
12.5%
5.5 329
11.2%
5 322
11.0%

extraversion
Real number (ℝ)

Distinct13
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.090707209
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:49:54.441252image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.5
Q13
median4
Q35.5
95-th percentile6.5
Maximum7
Range6
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.616797848
Coefficient of variation (CV)0.3952367563
Kurtosis-0.9600697444
Mean4.090707209
Median Absolute Deviation (MAD)1.5
Skewness-0.07328731653
Sum11973.5
Variance2.614035282
MonotonicityNot monotonic
2025-05-12T09:49:54.786870image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4 357
12.2%
4.5 291
9.9%
5 264
9.0%
6 263
9.0%
5.5 258
8.8%
3 251
8.6%
3.5 248
8.5%
2 224
7.7%
2.5 222
7.6%
6.5 184
6.3%
Other values (3) 365
12.5%
ValueCountFrequency (%)
1 96
 
3.3%
1.5 160
5.5%
2 224
7.7%
2.5 222
7.6%
3 251
8.6%
ValueCountFrequency (%)
7 109
3.7%
6.5 184
6.3%
6 263
9.0%
5.5 258
8.8%
5 264
9.0%

agreeableness
Real number (ℝ)

Distinct13
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.726340963
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:49:55.158350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q14
median4.5
Q35.5
95-th percentile6.5
Maximum7
Range6
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.211882826
Coefficient of variation (CV)0.256410368
Kurtosis-0.4088901229
Mean4.726340963
Median Absolute Deviation (MAD)1
Skewness-0.1196191104
Sum13834
Variance1.468659983
MonotonicityNot monotonic
2025-05-12T09:49:55.558581image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4.5 529
18.1%
4 481
16.4%
5 350
12.0%
6 317
10.8%
5.5 304
10.4%
3.5 271
9.3%
6.5 254
8.7%
3 140
 
4.8%
7 118
 
4.0%
2.5 96
 
3.3%
Other values (3) 67
 
2.3%
ValueCountFrequency (%)
1 6
 
0.2%
1.5 16
 
0.5%
2 45
 
1.5%
2.5 96
3.3%
3 140
4.8%
ValueCountFrequency (%)
7 118
 
4.0%
6.5 254
8.7%
6 317
10.8%
5.5 304
10.4%
5 350
12.0%

neuroticism
Real number (ℝ)

Distinct13
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.688930646
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:49:55.941183image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.5
Q12.5
median3.5
Q35
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.512481829
Coefficient of variation (CV)0.4100054932
Kurtosis-0.796302054
Mean3.688930646
Median Absolute Deviation (MAD)1
Skewness0.1345941198
Sum10797.5
Variance2.287601283
MonotonicityNot monotonic
2025-05-12T09:49:56.834112image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4 369
12.6%
3.5 345
11.8%
2 292
10.0%
3 290
9.9%
5 290
9.9%
2.5 269
9.2%
4.5 246
8.4%
5.5 221
7.6%
1.5 197
6.7%
6 136
 
4.6%
Other values (3) 272
9.3%
ValueCountFrequency (%)
1 126
4.3%
1.5 197
6.7%
2 292
10.0%
2.5 269
9.2%
3 290
9.9%
ValueCountFrequency (%)
7 57
 
1.9%
6.5 89
 
3.0%
6 136
4.6%
5.5 221
7.6%
5 290
9.9%

Var1
Real number (ℝ)

Missing 

Distinct1822
Distinct (%)70.3%
Missing334
Missing (%)11.4%
Infinite0
Infinite (%)0.0%
Mean26.02335133
Minimum10
Maximum69.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:49:57.455523image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10.07
Q113.96
median23.67
Q336.96
95-th percentile49.14
Maximum69.86
Range59.86
Interquartile range (IQR)23

Descriptive statistics

Standard deviation13.07846544
Coefficient of variation (CV)0.5025665323
Kurtosis-0.8163190839
Mean26.02335133
Median Absolute Deviation (MAD)10.94
Skewness0.5100832458
Sum67478.55
Variance171.0462582
MonotonicityNot monotonic
2025-05-12T09:49:57.935616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 127
 
4.3%
10.19 7
 
0.2%
10.37 6
 
0.2%
10.07 6
 
0.2%
10.11 6
 
0.2%
10.42 5
 
0.2%
10.09 5
 
0.2%
10.28 5
 
0.2%
40.96 5
 
0.2%
18.47 4
 
0.1%
Other values (1812) 2417
82.6%
(Missing) 334
 
11.4%
ValueCountFrequency (%)
10 127
4.3%
10.06 1
 
< 0.1%
10.07 6
 
0.2%
10.08 3
 
0.1%
10.09 5
 
0.2%
ValueCountFrequency (%)
69.86 1
< 0.1%
64.63 1
< 0.1%
64.54 1
< 0.1%
63.77 1
< 0.1%
63.58 1
< 0.1%

Var2
Real number (ℝ)

Missing  Zeros 

Distinct21
Distinct (%)0.8%
Missing313
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean0.376434583
Minimum0
Maximum20
Zeros2405
Zeros (%)82.2%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:49:58.380688image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.847991884
Coefficient of variation (CV)4.909197952
Kurtosis47.14803536
Mean0.376434583
Median Absolute Deviation (MAD)0
Skewness6.494505538
Sum984
Variance3.415074003
MonotonicityNot monotonic
2025-05-12T09:49:58.952676image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 2405
82.2%
1 79
 
2.7%
2 27
 
0.9%
9 18
 
0.6%
3 17
 
0.6%
4 11
 
0.4%
6 9
 
0.3%
8 7
 
0.2%
7 7
 
0.2%
16 5
 
0.2%
Other values (11) 29
 
1.0%
(Missing) 313
 
10.7%
ValueCountFrequency (%)
0 2405
82.2%
1 79
 
2.7%
2 27
 
0.9%
3 17
 
0.6%
4 11
 
0.4%
ValueCountFrequency (%)
20 1
 
< 0.1%
19 2
 
0.1%
18 2
 
0.1%
17 2
 
0.1%
16 5
0.2%

Var3
Real number (ℝ)

Missing  Zeros 

Distinct25
Distinct (%)1.0%
Missing313
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean0.7318286151
Minimum0
Maximum25
Zeros2303
Zeros (%)78.7%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:49:59.452263image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum25
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.936827659
Coefficient of variation (CV)4.012999217
Kurtosis26.23145152
Mean0.7318286151
Median Absolute Deviation (MAD)0
Skewness5.003407525
Sum1913
Variance8.624956701
MonotonicityNot monotonic
2025-05-12T09:49:59.865562image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 2303
78.7%
1 95
 
3.2%
2 47
 
1.6%
3 28
 
1.0%
4 16
 
0.5%
14 11
 
0.4%
7 10
 
0.3%
6 10
 
0.3%
15 10
 
0.3%
12 9
 
0.3%
Other values (15) 75
 
2.6%
(Missing) 313
 
10.7%
ValueCountFrequency (%)
0 2303
78.7%
1 95
 
3.2%
2 47
 
1.6%
3 28
 
1.0%
4 16
 
0.5%
ValueCountFrequency (%)
25 1
 
< 0.1%
23 2
 
0.1%
22 3
0.1%
21 4
0.1%
20 7
0.2%

Var4
Real number (ℝ)

Missing  Zeros 

Distinct32
Distinct (%)1.2%
Missing313
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean1.447207345
Minimum0
Maximum32
Zeros2178
Zeros (%)74.4%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:00.367124image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11
Maximum32
Range32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.727403181
Coefficient of variation (CV)3.266569367
Kurtosis15.70641538
Mean1.447207345
Median Absolute Deviation (MAD)0
Skewness3.953266944
Sum3783
Variance22.34834084
MonotonicityNot monotonic
2025-05-12T09:50:00.613527image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 2178
74.4%
1 91
 
3.1%
2 58
 
2.0%
3 31
 
1.1%
5 29
 
1.0%
4 22
 
0.8%
8 22
 
0.8%
6 14
 
0.5%
16 12
 
0.4%
11 12
 
0.4%
Other values (22) 145
 
5.0%
(Missing) 313
 
10.7%
ValueCountFrequency (%)
0 2178
74.4%
1 91
 
3.1%
2 58
 
2.0%
3 31
 
1.1%
4 22
 
0.8%
ValueCountFrequency (%)
32 1
 
< 0.1%
31 1
 
< 0.1%
30 4
0.1%
28 4
0.1%
27 4
0.1%

Var5
Real number (ℝ)

Missing  Zeros 

Distinct46
Distinct (%)1.8%
Missing313
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean3.366870696
Minimum0
Maximum45
Zeros1905
Zeros (%)65.1%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:00.831815image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile27
Maximum45
Range45
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.509402984
Coefficient of variation (CV)2.527392274
Kurtosis7.627632256
Mean3.366870696
Median Absolute Deviation (MAD)0
Skewness2.893348136
Sum8801
Variance72.40993915
MonotonicityNot monotonic
2025-05-12T09:50:01.036602image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 1905
65.1%
1 153
 
5.2%
2 59
 
2.0%
3 47
 
1.6%
4 36
 
1.2%
5 30
 
1.0%
7 22
 
0.8%
9 21
 
0.7%
8 21
 
0.7%
11 16
 
0.5%
Other values (36) 304
 
10.4%
(Missing) 313
 
10.7%
ValueCountFrequency (%)
0 1905
65.1%
1 153
 
5.2%
2 59
 
2.0%
3 47
 
1.6%
4 36
 
1.2%
ValueCountFrequency (%)
45 1
 
< 0.1%
44 1
 
< 0.1%
43 2
 
0.1%
42 3
0.1%
41 7
0.2%

Var6
Real number (ℝ)

Missing  Zeros 

Distinct84
Distinct (%)3.2%
Missing313
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean11.19969396
Minimum0
Maximum89
Zeros1371
Zeros (%)46.8%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:01.179489image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q311
95-th percentile61
Maximum89
Range89
Interquartile range (IQR)11

Descriptive statistics

Standard deviation20.19682863
Coefficient of variation (CV)1.803337547
Kurtosis2.015273045
Mean11.19969396
Median Absolute Deviation (MAD)0
Skewness1.819797475
Sum29276
Variance407.9118866
MonotonicityNot monotonic
2025-05-12T09:50:01.315929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1371
46.8%
1 207
 
7.1%
2 91
 
3.1%
3 67
 
2.3%
5 44
 
1.5%
4 41
 
1.4%
6 36
 
1.2%
7 35
 
1.2%
9 24
 
0.8%
8 22
 
0.8%
Other values (74) 676
23.1%
(Missing) 313
 
10.7%
ValueCountFrequency (%)
0 1371
46.8%
1 207
 
7.1%
2 91
 
3.1%
3 67
 
2.3%
4 41
 
1.4%
ValueCountFrequency (%)
89 1
 
< 0.1%
84 1
 
< 0.1%
83 1
 
< 0.1%
81 3
0.1%
80 3
0.1%

Var7
Real number (ℝ)

Missing 

Distinct152
Distinct (%)5.8%
Missing313
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean30.24292272
Minimum1
Maximum160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:01.449827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median7
Q349
95-th percentile120
Maximum160
Range159
Interquartile range (IQR)47

Descriptive statistics

Standard deviation40.58196406
Coefficient of variation (CV)1.341866473
Kurtosis0.3717809484
Mean30.24292272
Median Absolute Deviation (MAD)5
Skewness1.322253387
Sum79055
Variance1646.895807
MonotonicityNot monotonic
2025-05-12T09:50:01.598662image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 738
25.2%
3 195
 
6.7%
1 125
 
4.3%
4 122
 
4.2%
5 66
 
2.3%
6 56
 
1.9%
7 55
 
1.9%
8 43
 
1.5%
11 32
 
1.1%
9 30
 
1.0%
Other values (142) 1152
39.4%
(Missing) 313
 
10.7%
ValueCountFrequency (%)
1 125
 
4.3%
2 738
25.2%
3 195
 
6.7%
4 122
 
4.2%
5 66
 
2.3%
ValueCountFrequency (%)
160 1
 
< 0.1%
159 1
 
< 0.1%
152 1
 
< 0.1%
150 1
 
< 0.1%
149 4
0.1%

Var8
Real number (ℝ)

Missing  Zeros 

Distinct257
Distinct (%)9.8%
Missing313
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean56.76511094
Minimum0
Maximum274
Zeros440
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:01.775631image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median23
Q396
95-th percentile209
Maximum274
Range274
Interquartile range (IQR)94

Descriptive statistics

Standard deviation69.77113584
Coefficient of variation (CV)1.229120047
Kurtosis0.2821043169
Mean56.76511094
Median Absolute Deviation (MAD)23
Skewness1.203617597
Sum148384
Variance4868.011396
MonotonicityNot monotonic
2025-05-12T09:50:02.175223image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 440
 
15.0%
1 138
 
4.7%
2 101
 
3.5%
3 69
 
2.4%
4 69
 
2.4%
5 61
 
2.1%
6 60
 
2.0%
9 36
 
1.2%
10 35
 
1.2%
17 31
 
1.1%
Other values (247) 1574
53.8%
(Missing) 313
 
10.7%
ValueCountFrequency (%)
0 440
15.0%
1 138
 
4.7%
2 101
 
3.5%
3 69
 
2.4%
4 69
 
2.4%
ValueCountFrequency (%)
274 1
< 0.1%
270 1
< 0.1%
269 2
0.1%
266 2
0.1%
264 1
< 0.1%

Var9
Real number (ℝ)

Missing 

Distinct207
Distinct (%)7.9%
Missing313
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean35.04093344
Minimum1
Maximum519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:02.390899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median19
Q344
95-th percentile123
Maximum519
Range518
Interquartile range (IQR)36

Descriptive statistics

Standard deviation45.08906278
Coefficient of variation (CV)1.286754043
Kurtosis15.47639711
Mean35.04093344
Median Absolute Deviation (MAD)13
Skewness3.114005946
Sum91597
Variance2033.023582
MonotonicityNot monotonic
2025-05-12T09:50:02.568266image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 109
 
3.7%
4 107
 
3.7%
3 92
 
3.1%
2 88
 
3.0%
9 82
 
2.8%
5 81
 
2.8%
6 80
 
2.7%
10 78
 
2.7%
12 76
 
2.6%
14 75
 
2.6%
Other values (197) 1746
59.7%
(Missing) 313
 
10.7%
ValueCountFrequency (%)
1 72
2.5%
2 88
3.0%
3 92
3.1%
4 107
3.7%
5 81
2.8%
ValueCountFrequency (%)
519 1
< 0.1%
460 1
< 0.1%
347 1
< 0.1%
340 1
< 0.1%
331 1
< 0.1%

Var10
Real number (ℝ)

Missing 

Distinct2292
Distinct (%)87.7%
Missing313
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean8.210377938
Minimum1
Maximum267.5833333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:02.701103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.181818182
Q11.892605152
median3.083971949
Q36.948276951
95-th percentile33.11868969
Maximum267.5833333
Range266.5833333
Interquartile range (IQR)5.055671799

Descriptive statistics

Standard deviation16.30617469
Coefficient of variation (CV)1.986044347
Kurtosis55.87500082
Mean8.210377938
Median Absolute Deviation (MAD)1.533787674
Skewness6.077417797
Sum21461.92793
Variance265.8913331
MonotonicityNot monotonic
2025-05-12T09:50:02.864529image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 72
 
2.5%
1.5 19
 
0.6%
2 14
 
0.5%
1.333333333 13
 
0.4%
1.25 10
 
0.3%
1.666666667 10
 
0.3%
1.142857143 8
 
0.3%
3 8
 
0.3%
1.2 7
 
0.2%
1.6 6
 
0.2%
Other values (2282) 2447
83.6%
(Missing) 313
 
10.7%
ValueCountFrequency (%)
1 72
2.5%
1.041666667 1
 
< 0.1%
1.045454545 1
 
< 0.1%
1.05 1
 
< 0.1%
1.052631579 1
 
< 0.1%
ValueCountFrequency (%)
267.5833333 1
< 0.1%
203.125 1
< 0.1%
190.2941176 1
< 0.1%
169.2631579 1
< 0.1%
156.2 1
< 0.1%

Var11
Real number (ℝ)

Missing 

Distinct639
Distinct (%)24.4%
Missing313
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean197.9881408
Minimum1
Maximum1170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:03.003003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q153
median133
Q3287
95-th percentile622
Maximum1170
Range1169
Interquartile range (IQR)234

Descriptive statistics

Standard deviation194.4014538
Coefficient of variation (CV)0.9818843342
Kurtosis1.982580535
Mean197.9881408
Median Absolute Deviation (MAD)95
Skewness1.476714862
Sum517541
Variance37791.92523
MonotonicityNot monotonic
2025-05-12T09:50:03.145440image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 23
 
0.8%
3 19
 
0.6%
19 19
 
0.6%
2 19
 
0.6%
4 18
 
0.6%
22 18
 
0.6%
5 18
 
0.6%
48 18
 
0.6%
11 17
 
0.6%
47 16
 
0.5%
Other values (629) 2429
83.0%
(Missing) 313
 
10.7%
ValueCountFrequency (%)
1 23
0.8%
2 19
0.6%
3 19
0.6%
4 18
0.6%
5 18
0.6%
ValueCountFrequency (%)
1170 1
< 0.1%
1113 1
< 0.1%
1070 1
< 0.1%
1044 1
< 0.1%
973 1
< 0.1%

Var12
Real number (ℝ)

Missing 

Distinct1179
Distinct (%)45.1%
Missing313
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean1216.428845
Minimum1
Maximum3250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:03.297856image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11
Q1138.25
median582.5
Q32610
95-th percentile3231
Maximum3250
Range3249
Interquartile range (IQR)2471.75

Descriptive statistics

Standard deviation1260.841764
Coefficient of variation (CV)1.036510906
Kurtosis-1.233196065
Mean1216.428845
Median Absolute Deviation (MAD)542.5
Skewness0.6792743232
Sum3179745
Variance1589721.953
MonotonicityNot monotonic
2025-05-12T09:50:03.437220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 18
 
0.6%
3227 17
 
0.6%
2 16
 
0.5%
5 14
 
0.5%
3223 14
 
0.5%
3219 14
 
0.5%
3210 14
 
0.5%
3237 14
 
0.5%
6 13
 
0.4%
3 13
 
0.4%
Other values (1169) 2467
84.3%
(Missing) 313
 
10.7%
ValueCountFrequency (%)
1 18
0.6%
2 16
0.5%
3 13
0.4%
4 11
0.4%
5 14
0.5%
ValueCountFrequency (%)
3250 2
 
0.1%
3249 3
0.1%
3247 4
0.1%
3246 3
0.1%
3245 7
0.2%

Var13
Real number (ℝ)

Zeros 

Distinct161
Distinct (%)5.5%
Missing11
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean67.94924554
Minimum0
Maximum160
Zeros476
Zeros (%)16.3%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:03.573260image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117
median61
Q3116
95-th percentile156
Maximum160
Range160
Interquartile range (IQR)99

Descriptive statistics

Standard deviation53.85622333
Coefficient of variation (CV)0.7925948685
Kurtosis-1.28569579
Mean67.94924554
Median Absolute Deviation (MAD)51
Skewness0.2482212908
Sum198140
Variance2900.492792
MonotonicityNot monotonic
2025-05-12T09:50:03.718958image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 476
 
16.3%
4 153
 
5.2%
160 53
 
1.8%
158 32
 
1.1%
150 31
 
1.1%
156 27
 
0.9%
52 25
 
0.9%
36 24
 
0.8%
47 24
 
0.8%
155 24
 
0.8%
Other values (151) 2047
69.9%
ValueCountFrequency (%)
0 476
16.3%
1 1
 
< 0.1%
2 3
 
0.1%
3 3
 
0.1%
4 153
 
5.2%
ValueCountFrequency (%)
160 53
1.8%
159 19
 
0.6%
158 32
1.1%
157 24
0.8%
156 27
0.9%

Var14
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2907413734
Minimum0
Maximum1
Zeros2076
Zeros (%)70.9%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:03.847092image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4541820148
Coefficient of variation (CV)1.562151301
Kurtosis-1.150509329
Mean0.2907413734
Median Absolute Deviation (MAD)0
Skewness0.9221048064
Sum851
Variance0.2062813025
MonotonicityNot monotonic
2025-05-12T09:50:03.930347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 2076
70.9%
1 851
29.1%
ValueCountFrequency (%)
0 2076
70.9%
1 851
29.1%
ValueCountFrequency (%)
1 851
29.1%
0 2076
70.9%

Var15
Real number (ℝ)

Zeros 

Distinct600
Distinct (%)20.6%
Missing11
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean1.699230451
Minimum0
Maximum6.465281554
Zeros77
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:04.038534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.477121255
Q11.230448921
median1.69019608
Q32.134334323
95-th percentile2.95351788
Maximum6.465281554
Range6.465281554
Interquartile range (IQR)0.9038854017

Descriptive statistics

Standard deviation0.7346848348
Coefficient of variation (CV)0.4323632704
Kurtosis0.8884335077
Mean1.699230451
Median Absolute Deviation (MAD)0.45281872
Skewness0.2077809068
Sum4954.955995
Variance0.5397618065
MonotonicityNot monotonic
2025-05-12T09:50:05.295236image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 77
 
2.6%
0.602059991 57
 
1.9%
0.477121255 48
 
1.6%
0.301029996 48
 
1.6%
1.079181246 48
 
1.6%
1.176091259 46
 
1.6%
1.255272505 45
 
1.5%
0.698970004 44
 
1.5%
0.84509804 44
 
1.5%
0.903089987 40
 
1.4%
Other values (590) 2419
82.6%
ValueCountFrequency (%)
0 77
2.6%
0.301029996 48
1.6%
0.477121255 48
1.6%
0.602059991 57
1.9%
0.698970004 44
1.5%
ValueCountFrequency (%)
6.465281554 1
< 0.1%
5.095856005 1
< 0.1%
4.517631294 1
< 0.1%
4.462308135 1
< 0.1%
4.302071054 1
< 0.1%

Var16
Real number (ℝ)

Distinct693
Distinct (%)23.8%
Missing11
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean2.073274559
Minimum0
Maximum4.483373306
Zeros9
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:05.428977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.255272505
Q11.755874856
median2.068185862
Q32.397940009
95-th percentile2.900367129
Maximum4.483373306
Range4.483373306
Interquartile range (IQR)0.642065153

Descriptive statistics

Standard deviation0.5032670028
Coefficient of variation (CV)0.2427401622
Kurtosis0.9058905757
Mean2.073274559
Median Absolute Deviation (MAD)0.319997835
Skewness-0.06746981389
Sum6045.668615
Variance0.2532776761
MonotonicityNot monotonic
2025-05-12T09:50:05.561785image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.447158031 27
 
0.9%
1.643452676 23
 
0.8%
1.785329835 23
 
0.8%
1.763427994 22
 
0.8%
1.462397998 21
 
0.7%
1.740362689 20
 
0.7%
1.544068044 20
 
0.7%
1.672097858 19
 
0.6%
1.230448921 18
 
0.6%
1.875061263 18
 
0.6%
Other values (683) 2705
92.4%
ValueCountFrequency (%)
0 9
0.3%
0.301029996 1
 
< 0.1%
0.477121255 1
 
< 0.1%
0.698970004 4
0.1%
0.77815125 3
 
0.1%
ValueCountFrequency (%)
4.483373306 1
< 0.1%
3.982587791 1
< 0.1%
3.877256133 1
< 0.1%
3.811373897 1
< 0.1%
3.724357804 1
< 0.1%

Var17
Real number (ℝ)

Zeros 

Distinct1782
Distinct (%)61.1%
Missing11
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean2.70581312
Minimum0
Maximum5.107053867
Zeros56
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:05.696303image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.903089987
Q12.092542542
median2.746631409
Q33.404363255
95-th percentile4.230748778
Maximum5.107053867
Range5.107053867
Interquartile range (IQR)1.311820713

Descriptive statistics

Standard deviation0.9919944553
Coefficient of variation (CV)0.3666160268
Kurtosis0.04095504392
Mean2.70581312
Median Absolute Deviation (MAD)0.6567262985
Skewness-0.4029810183
Sum7890.151057
Variance0.9840529994
MonotonicityNot monotonic
2025-05-12T09:50:05.858215image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56
 
1.9%
1 16
 
0.5%
0.301029996 16
 
0.5%
0.477121255 15
 
0.5%
0.698970004 15
 
0.5%
1.041392685 13
 
0.4%
0.77815125 13
 
0.4%
0.84509804 13
 
0.4%
0.602059991 12
 
0.4%
0.903089987 12
 
0.4%
Other values (1772) 2735
93.4%
ValueCountFrequency (%)
0 56
1.9%
0.301029996 16
 
0.5%
0.477121255 15
 
0.5%
0.602059991 12
 
0.4%
0.698970004 15
 
0.5%
ValueCountFrequency (%)
5.107053867 1
< 0.1%
5.073927201 1
< 0.1%
5.070026778 1
< 0.1%
5.068044786 1
< 0.1%
5.024588277 1
< 0.1%

Var18
Real number (ℝ)

Zeros 

Distinct1783
Distinct (%)61.1%
Missing11
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean3502.576132
Minimum0
Maximum127954
Zeros37
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:05.996038image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q1123.75
median558
Q32537.25
95-th percentile17011.75
Maximum127954
Range127954
Interquartile range (IQR)2413.5

Descriptive statistics

Standard deviation9137.264774
Coefficient of variation (CV)2.608726957
Kurtosis56.46977872
Mean3502.576132
Median Absolute Deviation (MAD)528
Skewness6.301748898
Sum10213512
Variance83489607.55
MonotonicityNot monotonic
2025-05-12T09:50:06.134064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37
 
1.3%
1 19
 
0.6%
2 16
 
0.5%
10 16
 
0.5%
5 15
 
0.5%
3 15
 
0.5%
7 13
 
0.4%
6 13
 
0.4%
11 13
 
0.4%
15 12
 
0.4%
Other values (1773) 2747
93.9%
ValueCountFrequency (%)
0 37
1.3%
1 19
0.6%
2 16
0.5%
3 15
0.5%
4 12
 
0.4%
ValueCountFrequency (%)
127954 1
< 0.1%
118557 1
< 0.1%
117497 1
< 0.1%
116962 1
< 0.1%
105825 1
< 0.1%

Var19
Real number (ℝ)

Zeros 

Distinct372
Distinct (%)12.8%
Missing11
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean105.6553498
Minimum0
Maximum14338
Zeros644
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:06.273421image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q328
95-th percentile336.25
Maximum14338
Range14338
Interquartile range (IQR)27

Descriptive statistics

Standard deviation646.5124092
Coefficient of variation (CV)6.119069318
Kurtosis269.6855891
Mean105.6553498
Median Absolute Deviation (MAD)4
Skewness14.84588056
Sum308091
Variance417978.2952
MonotonicityNot monotonic
2025-05-12T09:50:06.419091image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 644
22.0%
1 342
 
11.7%
2 213
 
7.3%
3 152
 
5.2%
4 126
 
4.3%
5 91
 
3.1%
6 79
 
2.7%
7 56
 
1.9%
10 46
 
1.6%
8 41
 
1.4%
Other values (362) 1126
38.5%
ValueCountFrequency (%)
0 644
22.0%
1 342
11.7%
2 213
 
7.3%
3 152
 
5.2%
4 126
 
4.3%
ValueCountFrequency (%)
14338 1
< 0.1%
14184 1
< 0.1%
12818 1
< 0.1%
11739 1
< 0.1%
7984 1
< 0.1%

Var20
Text

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:06.550802image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length4
Median length1
Mean length1.00102494
Min length1

Characters and Unicode

Total characters2930
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 2647
90.4%
1 279
 
9.5%
true 1
 
< 0.1%
2025-05-12T09:50:06.722934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2647
90.3%
1 279
 
9.5%
T 1
 
< 0.1%
R 1
 
< 0.1%
U 1
 
< 0.1%
E 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2930
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2647
90.3%
1 279
 
9.5%
T 1
 
< 0.1%
R 1
 
< 0.1%
U 1
 
< 0.1%
E 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2930
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2647
90.3%
1 279
 
9.5%
T 1
 
< 0.1%
R 1
 
< 0.1%
U 1
 
< 0.1%
E 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2930
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2647
90.3%
1 279
 
9.5%
T 1
 
< 0.1%
R 1
 
< 0.1%
U 1
 
< 0.1%
E 1
 
< 0.1%

Var21
Real number (ℝ)

Skewed  Zeros 

Distinct139
Distinct (%)4.8%
Missing11
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean16.11865569
Minimum0
Maximum17055
Zeros1437
Zeros (%)49.1%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:06.836619image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile40
Maximum17055
Range17055
Interquartile range (IQR)4

Descriptive statistics

Standard deviation320.6066328
Coefficient of variation (CV)19.89040767
Kurtosis2739.715299
Mean16.11865569
Median Absolute Deviation (MAD)1
Skewness51.6174114
Sum47002
Variance102788.613
MonotonicityNot monotonic
2025-05-12T09:50:06.982244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1437
49.1%
1 385
 
13.2%
2 208
 
7.1%
3 142
 
4.9%
4 83
 
2.8%
5 74
 
2.5%
6 55
 
1.9%
7 37
 
1.3%
10 35
 
1.2%
8 31
 
1.1%
Other values (129) 429
 
14.7%
ValueCountFrequency (%)
0 1437
49.1%
1 385
 
13.2%
2 208
 
7.1%
3 142
 
4.9%
4 83
 
2.8%
ValueCountFrequency (%)
17055 1
< 0.1%
1476 1
< 0.1%
1355 1
< 0.1%
1067 1
< 0.1%
895 1
< 0.1%

Var22
Real number (ℝ)

Missing  Skewed 

Distinct1561
Distinct (%)60.0%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean19.92326538
Minimum2
Maximum960
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:07.122909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9.3185
Q112.18
median15.605
Q321.6
95-th percentile40.615
Maximum960
Range958
Interquartile range (IQR)9.42

Descriptive statistics

Standard deviation24.15824226
Coefficient of variation (CV)1.212564396
Kurtosis895.0514735
Mean19.92326538
Median Absolute Deviation (MAD)4.115
Skewness24.50702491
Sum51800.49
Variance583.6206692
MonotonicityNot monotonic
2025-05-12T09:50:07.436524image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.77 6
 
0.2%
11.29 6
 
0.2%
10.08 6
 
0.2%
14.05 6
 
0.2%
9.84 6
 
0.2%
13.03 6
 
0.2%
9.17 5
 
0.2%
11.24 5
 
0.2%
14.89 5
 
0.2%
12.04 5
 
0.2%
Other values (1551) 2544
86.9%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
2 1
< 0.1%
3.67 1
< 0.1%
5.14 1
< 0.1%
6 2
0.1%
6.22 1
< 0.1%
ValueCountFrequency (%)
960 1
< 0.1%
295 1
< 0.1%
217.42 1
< 0.1%
209.32 1
< 0.1%
194.64 1
< 0.1%

Var23
Real number (ℝ)

Missing 

Distinct1028
Distinct (%)39.5%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean20.07356923
Minimum0
Maximum100
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:07.856797image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.569
Q118.15
median19.99
Q321.7
95-th percentile25.1115
Maximum100
Range100
Interquartile range (IQR)3.55

Descriptive statistics

Standard deviation3.521475274
Coefficient of variation (CV)0.1754284568
Kurtosis106.5870147
Mean20.07356923
Median Absolute Deviation (MAD)1.785
Skewness4.955651598
Sum52191.28
Variance12.4007881
MonotonicityNot monotonic
2025-05-12T09:50:08.087998image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.23 11
 
0.4%
21.36 11
 
0.4%
20.71 9
 
0.3%
19.06 9
 
0.3%
19.95 9
 
0.3%
22.24 8
 
0.3%
20.25 8
 
0.3%
19.03 8
 
0.3%
17.27 8
 
0.3%
17.81 8
 
0.3%
Other values (1018) 2511
85.8%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 1
< 0.1%
3.33 1
< 0.1%
5.4 1
< 0.1%
5.88 1
< 0.1%
6.25 1
< 0.1%
ValueCountFrequency (%)
100 1
< 0.1%
53.85 1
< 0.1%
41.18 1
< 0.1%
35.45 1
< 0.1%
35.29 1
< 0.1%

Var24
Real number (ℝ)

Missing 

Distinct1759
Distinct (%)67.7%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean66.38971538
Minimum0
Maximum100
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:08.452570image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile35.3795
Q163.6975
median69.355
Q374
95-th percentile79.62
Maximum100
Range100
Interquartile range (IQR)10.3025

Descriptive statistics

Standard deviation13.15920373
Coefficient of variation (CV)0.1982114798
Kurtosis5.673707179
Mean66.38971538
Median Absolute Deviation (MAD)5.035
Skewness-2.19738506
Sum172613.26
Variance173.1646429
MonotonicityNot monotonic
2025-05-12T09:50:08.884415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.67 8
 
0.3%
71.16 6
 
0.2%
72.01 6
 
0.2%
75.01 5
 
0.2%
66.51 5
 
0.2%
65.41 5
 
0.2%
70.4 5
 
0.2%
73.18 5
 
0.2%
67.57 5
 
0.2%
71.37 5
 
0.2%
Other values (1749) 2545
86.9%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 2
0.1%
7.97 1
< 0.1%
10.79 1
< 0.1%
11.93 1
< 0.1%
11.96 1
< 0.1%
ValueCountFrequency (%)
100 1
< 0.1%
93.55 1
< 0.1%
93.38 1
< 0.1%
93.33 1
< 0.1%
87.5 1
< 0.1%

Var25
Real number (ℝ)

Missing 

Distinct1578
Distinct (%)60.7%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean39.64290385
Minimum0
Maximum66.89
Zeros3
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:09.272994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.0645
Q137.01
median41.605
Q345.2725
95-th percentile49.491
Maximum66.89
Range66.89
Interquartile range (IQR)8.2625

Descriptive statistics

Standard deviation9.129999382
Coefficient of variation (CV)0.2303060194
Kurtosis4.010448041
Mean39.64290385
Median Absolute Deviation (MAD)3.985
Skewness-1.784814719
Sum103071.55
Variance83.35688872
MonotonicityNot monotonic
2025-05-12T09:50:09.563888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 8
 
0.3%
41.67 7
 
0.2%
43.75 6
 
0.2%
43.96 6
 
0.2%
41.69 6
 
0.2%
38.95 6
 
0.2%
38.55 6
 
0.2%
41.78 6
 
0.2%
48.34 6
 
0.2%
44.43 5
 
0.2%
Other values (1568) 2538
86.7%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 3
0.1%
3.73 1
 
< 0.1%
3.74 1
 
< 0.1%
3.81 1
 
< 0.1%
4.44 1
 
< 0.1%
ValueCountFrequency (%)
66.89 1
 
< 0.1%
66.67 1
 
< 0.1%
60 3
0.1%
58.82 1
 
< 0.1%
58.33 1
 
< 0.1%

Var26
Real number (ℝ)

Missing 

Distinct1108
Distinct (%)42.6%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean10.50195
Minimum0
Maximum37.5
Zeros9
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:09.770461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.608
Q18.64
median10.835
Q312.75
95-th percentile15.281
Maximum37.5
Range37.5
Interquartile range (IQR)4.11

Descriptive statistics

Standard deviation3.555480193
Coefficient of variation (CV)0.3385542869
Kurtosis2.784050914
Mean10.50195
Median Absolute Deviation (MAD)2.055
Skewness-0.1304400892
Sum27305.07
Variance12.6414394
MonotonicityNot monotonic
2025-05-12T09:50:09.912066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.64 10
 
0.3%
12.5 10
 
0.3%
0 9
 
0.3%
11.11 9
 
0.3%
11.57 8
 
0.3%
12.15 8
 
0.3%
11.67 8
 
0.3%
12.76 8
 
0.3%
10.46 8
 
0.3%
11.58 7
 
0.2%
Other values (1098) 2515
85.9%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 9
0.3%
0.28 1
 
< 0.1%
0.5 1
 
< 0.1%
0.53 2
 
0.1%
0.54 1
 
< 0.1%
ValueCountFrequency (%)
37.5 1
< 0.1%
33.33 1
< 0.1%
28.57 1
< 0.1%
26.67 1
< 0.1%
25 2
0.1%

Var27
Real number (ℝ)

Missing 

Distinct898
Distinct (%)34.5%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean6.86825
Minimum0
Maximum33.33
Zeros15
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:10.039357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.27
Q15.36
median7
Q38.5
95-th percentile10.58
Maximum33.33
Range33.33
Interquartile range (IQR)3.14

Descriptive statistics

Standard deviation2.597737505
Coefficient of variation (CV)0.3782240753
Kurtosis5.926314693
Mean6.86825
Median Absolute Deviation (MAD)1.575
Skewness0.4936811534
Sum17857.45
Variance6.748240145
MonotonicityNot monotonic
2025-05-12T09:50:10.178504image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15
 
0.5%
7.14 11
 
0.4%
6.45 10
 
0.3%
7.25 10
 
0.3%
6.1 10
 
0.3%
7.68 9
 
0.3%
7.13 9
 
0.3%
7.75 9
 
0.3%
6.25 9
 
0.3%
5.43 9
 
0.3%
Other values (888) 2499
85.4%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 15
0.5%
0.25 1
 
< 0.1%
0.4 1
 
< 0.1%
0.45 1
 
< 0.1%
0.48 1
 
< 0.1%
ValueCountFrequency (%)
33.33 1
< 0.1%
25 1
< 0.1%
23.08 1
< 0.1%
20 1
< 0.1%
19.44 1
< 0.1%

Var28
Real number (ℝ)

Missing  Zeros 

Distinct721
Distinct (%)27.7%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean3.768830769
Minimum0
Maximum25
Zeros36
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:10.310906image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.68
Q12.45
median3.66
Q34.97
95-th percentile6.87
Maximum25
Range25
Interquartile range (IQR)2.52

Descriptive statistics

Standard deviation1.951835182
Coefficient of variation (CV)0.5178887835
Kurtosis7.403080009
Mean3.768830769
Median Absolute Deviation (MAD)1.26
Skewness1.109388691
Sum9798.96
Variance3.809660579
MonotonicityNot monotonic
2025-05-12T09:50:10.508402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
 
1.2%
4.44 13
 
0.4%
2.44 13
 
0.4%
3.18 12
 
0.4%
3.34 12
 
0.4%
5.07 11
 
0.4%
2.9 11
 
0.4%
4.61 10
 
0.3%
3 10
 
0.3%
3.62 10
 
0.3%
Other values (711) 2462
84.1%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 36
1.2%
0.13 1
 
< 0.1%
0.15 2
 
0.1%
0.17 1
 
< 0.1%
0.21 1
 
< 0.1%
ValueCountFrequency (%)
25 1
< 0.1%
16.67 2
0.1%
15.23 1
< 0.1%
15 1
< 0.1%
13.11 1
< 0.1%

Var29
Real number (ℝ)

Missing  Zeros 

Distinct169
Distinct (%)6.5%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.4758192308
Minimum0
Maximum4
Zeros175
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:10.708436image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.31
median0.44
Q30.6
95-th percentile0.99
Maximum4
Range4
Interquartile range (IQR)0.29

Descriptive statistics

Standard deviation0.3179312549
Coefficient of variation (CV)0.6681765559
Kurtosis15.62521754
Mean0.4758192308
Median Absolute Deviation (MAD)0.14
Skewness2.490024749
Sum1237.13
Variance0.1010802828
MonotonicityNot monotonic
2025-05-12T09:50:10.928368image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 175
 
6.0%
0.35 60
 
2.0%
0.51 57
 
1.9%
0.43 55
 
1.9%
0.39 53
 
1.8%
0.31 52
 
1.8%
0.42 51
 
1.7%
0.44 51
 
1.7%
0.33 51
 
1.7%
0.4 49
 
1.7%
Other values (159) 1946
66.5%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 175
6.0%
0.01 1
 
< 0.1%
0.02 5
 
0.2%
0.03 1
 
< 0.1%
0.04 4
 
0.1%
ValueCountFrequency (%)
4 1
< 0.1%
3.23 2
0.1%
2.7 1
< 0.1%
2.63 1
< 0.1%
2.56 1
< 0.1%

Var30
Real number (ℝ)

Missing  Zeros 

Distinct412
Distinct (%)15.8%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean1.717473077
Minimum0
Maximum16.67
Zeros65
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:11.121178image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2795
Q11.16
median1.62
Q32.11
95-th percentile3.2705
Maximum16.67
Range16.67
Interquartile range (IQR)0.95

Descriptive statistics

Standard deviation1.077395378
Coefficient of variation (CV)0.6273142747
Kurtosis41.45127026
Mean1.717473077
Median Absolute Deviation (MAD)0.47
Skewness4.099857103
Sum4465.43
Variance1.1607808
MonotonicityNot monotonic
2025-05-12T09:50:11.316514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65
 
2.2%
1.61 27
 
0.9%
1.53 23
 
0.8%
1.74 23
 
0.8%
1.36 23
 
0.8%
1.41 22
 
0.8%
1.78 21
 
0.7%
1.46 21
 
0.7%
1.56 21
 
0.7%
1.68 20
 
0.7%
Other values (402) 2334
79.7%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 65
2.2%
0.02 1
 
< 0.1%
0.03 1
 
< 0.1%
0.04 2
 
0.1%
0.05 2
 
0.1%
ValueCountFrequency (%)
16.67 1
< 0.1%
15.38 1
< 0.1%
13.33 2
0.1%
12 1
< 0.1%
11.43 1
< 0.1%

Var31
Real number (ℝ)

Missing  Zeros 

Distinct186
Distinct (%)7.2%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.5295538462
Minimum0
Maximum5.49
Zeros202
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:11.971472image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.27
median0.47
Q30.73
95-th percentile1.18
Maximum5.49
Range5.49
Interquartile range (IQR)0.46

Descriptive statistics

Standard deviation0.4129765462
Coefficient of variation (CV)0.7798575144
Kurtosis18.88820797
Mean0.5295538462
Median Absolute Deviation (MAD)0.23
Skewness2.647684162
Sum1376.84
Variance0.1705496277
MonotonicityNot monotonic
2025-05-12T09:50:12.175293image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 202
 
6.9%
0.48 44
 
1.5%
0.4 43
 
1.5%
0.47 42
 
1.4%
0.44 41
 
1.4%
0.52 41
 
1.4%
0.37 39
 
1.3%
0.35 38
 
1.3%
0.41 38
 
1.3%
0.45 36
 
1.2%
Other values (176) 2036
69.6%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 202
6.9%
0.01 5
 
0.2%
0.02 12
 
0.4%
0.03 7
 
0.2%
0.04 9
 
0.3%
ValueCountFrequency (%)
5.49 1
< 0.1%
4.72 1
< 0.1%
4.35 1
< 0.1%
3.39 1
< 0.1%
3.28 1
< 0.1%

Var32
Real number (ℝ)

Missing  Zeros 

Distinct130
Distinct (%)5.0%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.3764692308
Minimum0
Maximum4.08
Zeros224
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:12.406416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.24
median0.37
Q30.49
95-th percentile0.75
Maximum4.08
Range4.08
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.2634893182
Coefficient of variation (CV)0.6998960253
Kurtosis30.62253673
Mean0.3764692308
Median Absolute Deviation (MAD)0.13
Skewness3.232691514
Sum978.82
Variance0.06942662083
MonotonicityNot monotonic
2025-05-12T09:50:12.639964image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 224
 
7.7%
0.39 66
 
2.3%
0.35 62
 
2.1%
0.38 61
 
2.1%
0.32 59
 
2.0%
0.47 57
 
1.9%
0.41 57
 
1.9%
0.45 57
 
1.9%
0.44 55
 
1.9%
0.31 55
 
1.9%
Other values (120) 1847
63.1%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 224
7.7%
0.01 21
 
0.7%
0.02 12
 
0.4%
0.03 6
 
0.2%
0.04 10
 
0.3%
ValueCountFrequency (%)
4.08 1
< 0.1%
3.12 1
< 0.1%
2.88 1
< 0.1%
2.86 1
< 0.1%
2.67 1
< 0.1%

Var33
Real number (ℝ)

Missing 

Distinct546
Distinct (%)21.0%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean3.633819231
Minimum0
Maximum19.05
Zeros27
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:12.882146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9795
Q13.02
median3.79
Q34.37
95-th percentile5.29
Maximum19.05
Range19.05
Interquartile range (IQR)1.35

Descriptive statistics

Standard deviation1.342279647
Coefficient of variation (CV)0.369385366
Kurtosis10.54618783
Mean3.633819231
Median Absolute Deviation (MAD)0.66
Skewness0.5875534945
Sum9447.93
Variance1.80171465
MonotonicityNot monotonic
2025-05-12T09:50:13.074932image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
0.9%
3.98 25
 
0.9%
4.27 22
 
0.8%
4.06 19
 
0.6%
3.5 18
 
0.6%
4.23 17
 
0.6%
3.56 16
 
0.5%
3.62 16
 
0.5%
4.67 16
 
0.5%
4.13 16
 
0.5%
Other values (536) 2408
82.3%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 27
0.9%
0.03 1
 
< 0.1%
0.04 1
 
< 0.1%
0.05 1
 
< 0.1%
0.06 2
 
0.1%
ValueCountFrequency (%)
19.05 1
< 0.1%
13.33 1
< 0.1%
12.5 2
0.1%
11.63 1
< 0.1%
11.29 1
< 0.1%

Var34
Real number (ℝ)

Missing 

Distinct568
Distinct (%)21.8%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean4.765503846
Minimum0
Maximum20
Zeros22
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:13.218839image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.1
Q14.25
median4.86
Q35.4525
95-th percentile6.58
Maximum20
Range20
Interquartile range (IQR)1.2025

Descriptive statistics

Standard deviation1.449222469
Coefficient of variation (CV)0.3041068721
Kurtosis11.60640504
Mean4.765503846
Median Absolute Deviation (MAD)0.6
Skewness0.4695808332
Sum12390.31
Variance2.100245764
MonotonicityNot monotonic
2025-05-12T09:50:13.354856image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 25
 
0.9%
0 22
 
0.8%
4.79 22
 
0.8%
5.05 19
 
0.6%
4.76 19
 
0.6%
4.82 18
 
0.6%
4.44 18
 
0.6%
5.19 17
 
0.6%
4.84 17
 
0.6%
4.55 17
 
0.6%
Other values (558) 2406
82.2%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 22
0.8%
0.1 1
 
< 0.1%
0.11 1
 
< 0.1%
0.12 1
 
< 0.1%
0.13 1
 
< 0.1%
ValueCountFrequency (%)
20 1
< 0.1%
17.65 1
< 0.1%
16 1
< 0.1%
15 1
< 0.1%
11.76 1
< 0.1%

Var35
Real number (ℝ)

Missing 

Distinct1003
Distinct (%)38.6%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean11.63491154
Minimum0
Maximum25
Zeros10
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:13.495864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.7695
Q110.1875
median12.22
Q313.8025
95-th percentile15.61
Maximum25
Range25
Interquartile range (IQR)3.615

Descriptive statistics

Standard deviation3.223932568
Coefficient of variation (CV)0.2770912832
Kurtosis1.568544583
Mean11.63491154
Median Absolute Deviation (MAD)1.78
Skewness-1.039472404
Sum30250.77
Variance10.3937412
MonotonicityNot monotonic
2025-05-12T09:50:13.627454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.2 11
 
0.4%
0 10
 
0.3%
13.75 9
 
0.3%
13.09 9
 
0.3%
13.36 9
 
0.3%
13.8 9
 
0.3%
14.62 9
 
0.3%
13.72 8
 
0.3%
14.19 8
 
0.3%
13.51 8
 
0.3%
Other values (993) 2510
85.8%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 10
0.3%
0.32 1
 
< 0.1%
0.54 1
 
< 0.1%
0.59 1
 
< 0.1%
0.6 1
 
< 0.1%
ValueCountFrequency (%)
25 1
< 0.1%
23.53 1
< 0.1%
22.45 1
< 0.1%
20 1
< 0.1%
19.21 1
< 0.1%

Var36
Real number (ℝ)

Missing 

Distinct782
Distinct (%)30.1%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean7.173607692
Minimum0
Maximum18.75
Zeros14
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:13.766850image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.669
Q16.11
median7.525
Q38.64
95-th percentile9.88
Maximum18.75
Range18.75
Interquartile range (IQR)2.53

Descriptive statistics

Standard deviation2.152919433
Coefficient of variation (CV)0.3001166952
Kurtosis1.618664676
Mean7.173607692
Median Absolute Deviation (MAD)1.235
Skewness-0.6997246227
Sum18651.38
Variance4.635062085
MonotonicityNot monotonic
2025-05-12T09:50:13.899626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.91 14
 
0.5%
0 14
 
0.5%
8.79 13
 
0.4%
8.95 12
 
0.4%
8.33 10
 
0.3%
8.76 10
 
0.3%
8.64 10
 
0.3%
7.62 10
 
0.3%
8.4 10
 
0.3%
7.93 10
 
0.3%
Other values (772) 2487
85.0%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 14
0.5%
0.19 1
 
< 0.1%
0.3 1
 
< 0.1%
0.38 1
 
< 0.1%
0.4 2
 
0.1%
ValueCountFrequency (%)
18.75 1
< 0.1%
17.65 1
< 0.1%
16.67 1
< 0.1%
15.19 1
< 0.1%
14.29 1
< 0.1%

Var37
Real number (ℝ)

Missing  Zeros 

Distinct375
Distinct (%)14.4%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean2.139173077
Minimum0
Maximum12.5
Zeros51
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:14.040848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.62
Q11.65
median2.195
Q32.6225
95-th percentile3.29
Maximum12.5
Range12.5
Interquartile range (IQR)0.9725

Descriptive statistics

Standard deviation0.9277814109
Coefficient of variation (CV)0.4337103065
Kurtosis21.17929004
Mean2.139173077
Median Absolute Deviation (MAD)0.485
Skewness2.122609313
Sum5561.85
Variance0.8607783463
MonotonicityNot monotonic
2025-05-12T09:50:14.182134image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51
 
1.7%
2.39 29
 
1.0%
2.27 26
 
0.9%
2.54 25
 
0.9%
2.21 24
 
0.8%
2.35 23
 
0.8%
2.7 22
 
0.8%
2.02 21
 
0.7%
2.37 20
 
0.7%
2.42 20
 
0.7%
Other values (365) 2339
79.9%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 51
1.7%
0.03 1
 
< 0.1%
0.05 1
 
< 0.1%
0.06 3
 
0.1%
0.07 1
 
< 0.1%
ValueCountFrequency (%)
12.5 2
0.1%
11.76 1
< 0.1%
9.38 1
< 0.1%
8.84 1
< 0.1%
8 1
< 0.1%

Var38
Real number (ℝ)

Missing 

Distinct809
Distinct (%)31.1%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean7.737280769
Minimum0
Maximum17.74
Zeros17
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:14.311065image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.96
Q16.73
median8.07
Q39.21
95-th percentile10.641
Maximum17.74
Range17.74
Interquartile range (IQR)2.48

Descriptive statistics

Standard deviation2.249426302
Coefficient of variation (CV)0.2907256916
Kurtosis1.665433906
Mean7.737280769
Median Absolute Deviation (MAD)1.24
Skewness-0.8775646463
Sum20116.93
Variance5.05991869
MonotonicityNot monotonic
2025-05-12T09:50:14.437371image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17
 
0.6%
7.28 12
 
0.4%
8.68 11
 
0.4%
7.67 11
 
0.4%
7.14 11
 
0.4%
8.71 10
 
0.3%
8.16 10
 
0.3%
9.36 10
 
0.3%
8.2 10
 
0.3%
8.7 10
 
0.3%
Other values (799) 2488
85.0%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 17
0.6%
0.21 1
 
< 0.1%
0.44 2
 
0.1%
0.48 1
 
< 0.1%
0.59 1
 
< 0.1%
ValueCountFrequency (%)
17.74 1
< 0.1%
16.67 1
< 0.1%
16.33 1
< 0.1%
14.81 1
< 0.1%
14.29 2
0.1%

Var39
Real number (ℝ)

Missing  Zeros 

Distinct209
Distinct (%)8.0%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.8640192308
Minimum0
Maximum6.67
Zeros111
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:14.582128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04
Q10.67
median0.88
Q31.07
95-th percentile1.43
Maximum6.67
Range6.67
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.43524146
Coefficient of variation (CV)0.5037404777
Kurtosis22.41253895
Mean0.8640192308
Median Absolute Deviation (MAD)0.2
Skewness2.119804915
Sum2246.45
Variance0.1894351285
MonotonicityNot monotonic
2025-05-12T09:50:14.720245image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 111
 
3.8%
0.93 47
 
1.6%
0.8 43
 
1.5%
0.91 41
 
1.4%
0.84 41
 
1.4%
0.9 40
 
1.4%
0.81 39
 
1.3%
1 39
 
1.3%
1.01 39
 
1.3%
0.86 38
 
1.3%
Other values (199) 2122
72.5%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 111
3.8%
0.01 5
 
0.2%
0.02 6
 
0.2%
0.03 7
 
0.2%
0.04 6
 
0.2%
ValueCountFrequency (%)
6.67 1
< 0.1%
5.17 1
< 0.1%
5 1
< 0.1%
3.85 2
0.1%
3.81 1
< 0.1%

Var40
Real number (ℝ)

Missing 

Distinct597
Distinct (%)23.0%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean4.010469231
Minimum0
Maximum18.75
Zeros26
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:14.881204image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.11
Q13.32
median4.12
Q34.8425
95-th percentile5.961
Maximum18.75
Range18.75
Interquartile range (IQR)1.5225

Descriptive statistics

Standard deviation1.502476656
Coefficient of variation (CV)0.3746386194
Kurtosis8.480485799
Mean4.010469231
Median Absolute Deviation (MAD)0.75
Skewness0.732328103
Sum10427.22
Variance2.257436101
MonotonicityNot monotonic
2025-05-12T09:50:15.032174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26
 
0.9%
4.26 18
 
0.6%
4.6 17
 
0.6%
4.43 16
 
0.5%
3.6 15
 
0.5%
4.13 15
 
0.5%
4.99 14
 
0.5%
4.21 14
 
0.5%
4.85 14
 
0.5%
4.46 14
 
0.5%
Other values (587) 2437
83.3%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 26
0.9%
0.08 2
 
0.1%
0.11 1
 
< 0.1%
0.12 2
 
0.1%
0.14 1
 
< 0.1%
ValueCountFrequency (%)
18.75 1
< 0.1%
15.15 1
< 0.1%
14.29 1
< 0.1%
13.11 1
< 0.1%
12.9 1
< 0.1%

Var41
Real number (ℝ)

Missing 

Distinct777
Distinct (%)29.9%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean9.504107692
Minimum0
Maximum26.67
Zeros10
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:15.177501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.5195
Q18.79
median9.8
Q310.67
95-th percentile12.2705
Maximum26.67
Range26.67
Interquartile range (IQR)1.88

Descriptive statistics

Standard deviation2.359584038
Coefficient of variation (CV)0.2482699181
Kurtosis6.214660608
Mean9.504107692
Median Absolute Deviation (MAD)0.93
Skewness-0.728272781
Sum24710.68
Variance5.567636833
MonotonicityNot monotonic
2025-05-12T09:50:15.312243image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.56 15
 
0.5%
9.98 14
 
0.5%
10 13
 
0.4%
10.22 13
 
0.4%
9.91 13
 
0.4%
10.45 13
 
0.4%
10.18 13
 
0.4%
9.76 12
 
0.4%
9.04 12
 
0.4%
9.73 12
 
0.4%
Other values (767) 2470
84.4%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 10
0.3%
0.27 1
 
< 0.1%
0.42 1
 
< 0.1%
0.52 1
 
< 0.1%
0.6 1
 
< 0.1%
ValueCountFrequency (%)
26.67 2
0.1%
25 1
< 0.1%
20.37 1
< 0.1%
20 1
< 0.1%
18.37 1
< 0.1%

Var42
Real number (ℝ)

Missing  Zeros 

Distinct547
Distinct (%)21.0%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean3.549919231
Minimum0
Maximum20
Zeros33
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:15.437324image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.0295
Q12.96
median3.67
Q34.25
95-th percentile5.2005
Maximum20
Range20
Interquartile range (IQR)1.29

Descriptive statistics

Standard deviation1.311286913
Coefficient of variation (CV)0.3693849994
Kurtosis15.47531344
Mean3.549919231
Median Absolute Deviation (MAD)0.63
Skewness1.045029582
Sum9229.79
Variance1.719473368
MonotonicityNot monotonic
2025-05-12T09:50:15.578590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33
 
1.1%
3.81 19
 
0.6%
3.33 18
 
0.6%
3.96 17
 
0.6%
3.97 17
 
0.6%
3.47 17
 
0.6%
4.01 17
 
0.6%
4.03 16
 
0.5%
3.51 16
 
0.5%
4.08 16
 
0.5%
Other values (537) 2414
82.5%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 33
1.1%
0.02 1
 
< 0.1%
0.03 1
 
< 0.1%
0.04 2
 
0.1%
0.05 1
 
< 0.1%
ValueCountFrequency (%)
20 1
< 0.1%
14.29 2
0.1%
13.25 1
< 0.1%
11.54 1
< 0.1%
10.94 1
< 0.1%

Var43
Real number (ℝ)

Missing  Zeros 

Distinct312
Distinct (%)12.0%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean1.505303846
Minimum0
Maximum14.29
Zeros77
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:15.706883image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1895
Q11.15
median1.56
Q31.89
95-th percentile2.4005
Maximum14.29
Range14.29
Interquartile range (IQR)0.74

Descriptive statistics

Standard deviation0.7352432728
Coefficient of variation (CV)0.4884351254
Kurtosis42.819162
Mean1.505303846
Median Absolute Deviation (MAD)0.36
Skewness2.958093
Sum3913.79
Variance0.5405826702
MonotonicityNot monotonic
2025-05-12T09:50:15.867562image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 77
 
2.6%
1.67 32
 
1.1%
1.69 28
 
1.0%
1.91 27
 
0.9%
1.64 27
 
0.9%
1.65 25
 
0.9%
1.78 24
 
0.8%
1.61 24
 
0.8%
1.68 24
 
0.8%
1.59 23
 
0.8%
Other values (302) 2289
78.2%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 77
2.6%
0.02 1
 
< 0.1%
0.03 2
 
0.1%
0.04 5
 
0.2%
0.05 3
 
0.1%
ValueCountFrequency (%)
14.29 1
< 0.1%
8.06 1
< 0.1%
7.69 1
< 0.1%
6.67 2
0.1%
6.45 1
< 0.1%

Var44
Real number (ℝ)

Missing  Zeros 

Distinct350
Distinct (%)13.5%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean1.937773077
Minimum0
Maximum10.57
Zeros50
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:16.008015image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.47
Q11.68
median1.99
Q32.27
95-th percentile2.84
Maximum10.57
Range10.57
Interquartile range (IQR)0.59

Descriptive statistics

Standard deviation0.7434409372
Coefficient of variation (CV)0.3836573777
Kurtosis14.78859465
Mean1.937773077
Median Absolute Deviation (MAD)0.29
Skewness1.282824566
Sum5038.21
Variance0.5527044271
MonotonicityNot monotonic
2025-05-12T09:50:16.141855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50
 
1.7%
2.05 35
 
1.2%
2.16 33
 
1.1%
1.99 33
 
1.1%
2.2 31
 
1.1%
2.06 29
 
1.0%
2.1 29
 
1.0%
1.85 29
 
1.0%
1.94 28
 
1.0%
1.91 28
 
1.0%
Other values (340) 2275
77.7%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 50
1.7%
0.06 1
 
< 0.1%
0.07 1
 
< 0.1%
0.09 2
 
0.1%
0.1 2
 
0.1%
ValueCountFrequency (%)
10.57 1
 
< 0.1%
8.16 1
 
< 0.1%
8.06 1
 
< 0.1%
6.67 3
0.1%
6.45 1
 
< 0.1%

Var45
Real number (ℝ)

Missing  Zeros 

Distinct421
Distinct (%)16.2%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean2.128503846
Minimum0
Maximum45.45
Zeros50
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:16.280116image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9695
Q11.52
median1.91
Q32.43
95-th percentile3.85
Maximum45.45
Range45.45
Interquartile range (IQR)0.91

Descriptive statistics

Standard deviation1.441222745
Coefficient of variation (CV)0.6771060093
Kurtosis335.9371162
Mean2.128503846
Median Absolute Deviation (MAD)0.44
Skewness12.97178398
Sum5534.11
Variance2.077123001
MonotonicityNot monotonic
2025-05-12T09:50:16.410311image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50
 
1.7%
1.55 27
 
0.9%
1.99 25
 
0.9%
1.9 25
 
0.9%
1.61 24
 
0.8%
1.74 23
 
0.8%
1.87 22
 
0.8%
1.86 21
 
0.7%
1.76 21
 
0.7%
1.79 21
 
0.7%
Other values (411) 2341
80.0%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 50
1.7%
0.08 1
 
< 0.1%
0.35 1
 
< 0.1%
0.41 1
 
< 0.1%
0.44 1
 
< 0.1%
ValueCountFrequency (%)
45.45 1
< 0.1%
22.22 1
< 0.1%
14.56 1
< 0.1%
13.89 1
< 0.1%
13.35 1
< 0.1%

Var46
Real number (ℝ)

Missing  Zeros 

Distinct169
Distinct (%)6.5%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.3222230769
Minimum0
Maximum16.67
Zeros330
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:16.540796image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.07
median0.21
Q30.43
95-th percentile0.94
Maximum16.67
Range16.67
Interquartile range (IQR)0.36

Descriptive statistics

Standard deviation0.5447930271
Coefficient of variation (CV)1.690732496
Kurtosis414.116725
Mean0.3222230769
Median Absolute Deviation (MAD)0.16
Skewness15.93310652
Sum837.78
Variance0.2967994423
MonotonicityNot monotonic
2025-05-12T09:50:16.680104image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 330
 
11.3%
0.06 57
 
1.9%
0.03 56
 
1.9%
0.08 55
 
1.9%
0.16 55
 
1.9%
0.14 55
 
1.9%
0.05 54
 
1.8%
0.18 52
 
1.8%
0.04 52
 
1.8%
0.12 50
 
1.7%
Other values (159) 1784
60.9%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 330
11.3%
0.01 33
 
1.1%
0.02 34
 
1.2%
0.03 56
 
1.9%
0.04 52
 
1.8%
ValueCountFrequency (%)
16.67 1
< 0.1%
12.5 1
< 0.1%
6.06 1
< 0.1%
4 1
< 0.1%
3.57 1
< 0.1%

Var47
Real number (ℝ)

Missing 

Distinct758
Distinct (%)29.2%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean6.732334615
Minimum0
Maximum38.46
Zeros13
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:16.829904image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.0595
Q15.72
median6.83
Q37.85
95-th percentile9.57
Maximum38.46
Range38.46
Interquartile range (IQR)2.13

Descriptive statistics

Standard deviation2.095543277
Coefficient of variation (CV)0.3112654669
Kurtosis21.98153496
Mean6.732334615
Median Absolute Deviation (MAD)1.06
Skewness1.314590278
Sum17504.07
Variance4.391301627
MonotonicityNot monotonic
2025-05-12T09:50:16.987504image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.07 16
 
0.5%
7.37 14
 
0.5%
0 13
 
0.4%
6.8 12
 
0.4%
6.51 12
 
0.4%
7.94 12
 
0.4%
5.75 12
 
0.4%
7.59 11
 
0.4%
5.88 11
 
0.4%
7.2 11
 
0.4%
Other values (748) 2476
84.6%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 13
0.4%
0.55 1
 
< 0.1%
0.6 1
 
< 0.1%
0.81 2
 
0.1%
0.84 1
 
< 0.1%
ValueCountFrequency (%)
38.46 1
< 0.1%
18.37 1
< 0.1%
17.14 1
< 0.1%
16.67 1
< 0.1%
16 1
< 0.1%

Var48
Real number (ℝ)

Missing  Zeros 

Distinct118
Distinct (%)4.5%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.2401115385
Minimum0
Maximum7.69
Zeros296
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:17.120512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.11
median0.2
Q30.31
95-th percentile0.58
Maximum7.69
Range7.69
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.2733767494
Coefficient of variation (CV)1.13854066
Kurtosis255.0230815
Mean0.2401115385
Median Absolute Deviation (MAD)0.1
Skewness11.27476212
Sum624.29
Variance0.07473484712
MonotonicityNot monotonic
2025-05-12T09:50:17.268424image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 296
 
10.1%
0.16 76
 
2.6%
0.19 76
 
2.6%
0.22 76
 
2.6%
0.17 74
 
2.5%
0.2 72
 
2.5%
0.18 72
 
2.5%
0.21 69
 
2.4%
0.14 68
 
2.3%
0.15 67
 
2.3%
Other values (108) 1654
56.5%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 296
10.1%
0.01 6
 
0.2%
0.02 16
 
0.5%
0.03 27
 
0.9%
0.04 24
 
0.8%
ValueCountFrequency (%)
7.69 1
< 0.1%
5 1
< 0.1%
3.12 1
< 0.1%
2.65 1
< 0.1%
1.57 1
< 0.1%

Var49
Real number (ℝ)

Missing  Zeros 

Distinct92
Distinct (%)3.5%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.1495192308
Minimum0
Maximum5.1
Zeros355
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:17.408097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.07
median0.13
Q30.19
95-th percentile0.35
Maximum5.1
Range5.1
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.1790560292
Coefficient of variation (CV)1.197545147
Kurtosis249.290805
Mean0.1495192308
Median Absolute Deviation (MAD)0.06
Skewness11.09593029
Sum388.75
Variance0.03206106158
MonotonicityNot monotonic
2025-05-12T09:50:18.031519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 355
 
12.1%
0.11 145
 
5.0%
0.14 137
 
4.7%
0.13 133
 
4.5%
0.09 116
 
4.0%
0.15 116
 
4.0%
0.08 115
 
3.9%
0.1 115
 
3.9%
0.12 103
 
3.5%
0.16 102
 
3.5%
Other values (82) 1163
39.7%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 355
12.1%
0.01 5
 
0.2%
0.02 24
 
0.8%
0.03 37
 
1.3%
0.04 37
 
1.3%
ValueCountFrequency (%)
5.1 1
< 0.1%
2.67 1
< 0.1%
1.79 1
< 0.1%
1.64 1
< 0.1%
1.45 1
< 0.1%

Var50
Real number (ℝ)

Missing  Zeros 

Distinct204
Distinct (%)7.8%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.7070538462
Minimum0
Maximum4.94
Zeros116
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:18.182135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.09
Q10.48
median0.67
Q30.87
95-th percentile1.3505
Maximum4.94
Range4.94
Interquartile range (IQR)0.39

Descriptive statistics

Standard deviation0.4333408752
Coefficient of variation (CV)0.6128824241
Kurtosis19.08402556
Mean0.7070538462
Median Absolute Deviation (MAD)0.2
Skewness2.826964466
Sum1838.34
Variance0.1877843141
MonotonicityNot monotonic
2025-05-12T09:50:18.323657image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 116
 
4.0%
0.69 44
 
1.5%
0.67 43
 
1.5%
0.74 42
 
1.4%
0.76 39
 
1.3%
0.51 39
 
1.3%
0.63 38
 
1.3%
0.7 37
 
1.3%
0.8 36
 
1.2%
0.57 36
 
1.2%
Other values (194) 2130
72.8%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 116
4.0%
0.05 1
 
< 0.1%
0.06 2
 
0.1%
0.07 4
 
0.1%
0.08 4
 
0.1%
ValueCountFrequency (%)
4.94 1
< 0.1%
4.69 1
< 0.1%
4.63 2
0.1%
4.17 1
< 0.1%
4 1
< 0.1%

Var51
Real number (ℝ)

Missing 

Distinct724
Distinct (%)27.8%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean6.311211538
Minimum0
Maximum25
Zeros19
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:18.459791image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.6985
Q15.5
median6.39
Q37.26
95-th percentile8.981
Maximum25
Range25
Interquartile range (IQR)1.76

Descriptive statistics

Standard deviation1.877835451
Coefficient of variation (CV)0.2975396149
Kurtosis6.989484602
Mean6.311211538
Median Absolute Deviation (MAD)0.88
Skewness0.3121158977
Sum16409.15
Variance3.526265981
MonotonicityNot monotonic
2025-05-12T09:50:18.601619image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19
 
0.6%
5.8 14
 
0.5%
5.74 14
 
0.5%
6.8 14
 
0.5%
7 14
 
0.5%
6.82 14
 
0.5%
6.78 13
 
0.4%
6.59 13
 
0.4%
6.22 13
 
0.4%
6.51 13
 
0.4%
Other values (714) 2459
84.0%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 19
0.6%
0.42 1
 
< 0.1%
0.56 1
 
< 0.1%
0.83 1
 
< 0.1%
0.94 1
 
< 0.1%
ValueCountFrequency (%)
25 1
< 0.1%
18.18 1
< 0.1%
16.67 1
< 0.1%
16.3 1
< 0.1%
16.13 1
< 0.1%

Var52
Real number (ℝ)

Missing 

Distinct620
Distinct (%)23.8%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean4.362757692
Minimum0
Maximum25
Zeros26
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:18.733494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.73
Q13.59
median4.31
Q35.08
95-th percentile6.621
Maximum25
Range25
Interquartile range (IQR)1.49

Descriptive statistics

Standard deviation1.581447499
Coefficient of variation (CV)0.3624880434
Kurtosis15.9268745
Mean4.362757692
Median Absolute Deviation (MAD)0.735
Skewness1.624438082
Sum11343.17
Variance2.500976194
MonotonicityNot monotonic
2025-05-12T09:50:18.877453image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26
 
0.9%
3.8 17
 
0.6%
3.87 16
 
0.5%
4.36 16
 
0.5%
3.58 16
 
0.5%
3.81 16
 
0.5%
3.73 15
 
0.5%
4.81 14
 
0.5%
3.97 14
 
0.5%
4.43 14
 
0.5%
Other values (610) 2436
83.2%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 26
0.9%
0.25 1
 
< 0.1%
0.45 1
 
< 0.1%
0.56 1
 
< 0.1%
0.58 1
 
< 0.1%
ValueCountFrequency (%)
25 1
< 0.1%
16.13 1
< 0.1%
15.38 1
< 0.1%
14.29 1
< 0.1%
13.33 1
< 0.1%

Var53
Real number (ℝ)

Missing  Zeros 

Distinct382
Distinct (%)14.7%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean1.916165385
Minimum0
Maximum18.18
Zeros69
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:19.030343image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.44
Q11.4
median1.89
Q32.4
95-th percentile3.17
Maximum18.18
Range18.18
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9801655263
Coefficient of variation (CV)0.5115244927
Kurtosis52.77600201
Mean1.916165385
Median Absolute Deviation (MAD)0.5
Skewness3.82187769
Sum4982.03
Variance0.960724459
MonotonicityNot monotonic
2025-05-12T09:50:19.184373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69
 
2.4%
1.57 23
 
0.8%
1.58 23
 
0.8%
1.81 21
 
0.7%
1.88 21
 
0.7%
1.91 20
 
0.7%
2.01 20
 
0.7%
1.79 20
 
0.7%
1.92 19
 
0.6%
1.86 19
 
0.6%
Other values (372) 2345
80.1%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 69
2.4%
0.08 1
 
< 0.1%
0.12 1
 
< 0.1%
0.13 1
 
< 0.1%
0.17 4
 
0.1%
ValueCountFrequency (%)
18.18 1
< 0.1%
16.67 1
< 0.1%
10 2
0.1%
6.67 2
0.1%
6.55 1
< 0.1%

Var54
Real number (ℝ)

Missing  Zeros 

Distinct114
Distinct (%)4.4%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.2840384615
Minimum0
Maximum6.67
Zeros216
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:19.321599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.18
median0.27
Q30.36
95-th percentile0.57
Maximum6.67
Range6.67
Interquartile range (IQR)0.18

Descriptive statistics

Standard deviation0.2556615544
Coefficient of variation (CV)0.9000948427
Kurtosis234.4391761
Mean0.2840384615
Median Absolute Deviation (MAD)0.09
Skewness10.95924861
Sum738.5
Variance0.06536283038
MonotonicityNot monotonic
2025-05-12T09:50:19.460402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 216
 
7.4%
0.25 85
 
2.9%
0.32 82
 
2.8%
0.23 82
 
2.8%
0.21 79
 
2.7%
0.28 78
 
2.7%
0.29 74
 
2.5%
0.33 74
 
2.5%
0.34 71
 
2.4%
0.27 71
 
2.4%
Other values (104) 1688
57.7%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 216
7.4%
0.01 5
 
0.2%
0.02 9
 
0.3%
0.03 16
 
0.5%
0.04 14
 
0.5%
ValueCountFrequency (%)
6.67 1
< 0.1%
5.71 1
< 0.1%
2.86 1
< 0.1%
2.3 1
< 0.1%
2 1
< 0.1%

Var55
Real number (ℝ)

Missing  Zeros 

Distinct227
Distinct (%)8.7%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.7477884615
Minimum0
Maximum16.67
Zeros135
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:19.593584image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.43
median0.67
Q30.97
95-th percentile1.59
Maximum16.67
Range16.67
Interquartile range (IQR)0.54

Descriptive statistics

Standard deviation0.5990881823
Coefficient of variation (CV)0.8011465984
Kurtosis203.7349656
Mean0.7477884615
Median Absolute Deviation (MAD)0.26
Skewness8.919444972
Sum1944.25
Variance0.3589066501
MonotonicityNot monotonic
2025-05-12T09:50:19.729829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 135
 
4.6%
0.62 38
 
1.3%
0.56 35
 
1.2%
0.65 33
 
1.1%
0.43 32
 
1.1%
0.6 32
 
1.1%
0.71 31
 
1.1%
0.53 31
 
1.1%
0.57 30
 
1.0%
0.59 30
 
1.0%
Other values (217) 2173
74.2%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 135
4.6%
0.03 1
 
< 0.1%
0.04 2
 
0.1%
0.05 3
 
0.1%
0.06 4
 
0.1%
ValueCountFrequency (%)
16.67 1
< 0.1%
8 1
< 0.1%
6.1 1
< 0.1%
4.56 1
< 0.1%
4.35 1
< 0.1%

Var56
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct133
Distinct (%)5.1%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.3706807692
Minimum0
Maximum18.18
Zeros186
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:19.872102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median0.35
Q30.45
95-th percentile0.67
Maximum18.18
Range18.18
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.4407952584
Coefficient of variation (CV)1.189150598
Kurtosis1032.908397
Mean0.3706807692
Median Absolute Deviation (MAD)0.1
Skewness26.58970462
Sum963.77
Variance0.1943004598
MonotonicityNot monotonic
2025-05-12T09:50:20.062808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 186
 
6.4%
0.38 88
 
3.0%
0.37 86
 
2.9%
0.31 80
 
2.7%
0.35 80
 
2.7%
0.36 77
 
2.6%
0.3 71
 
2.4%
0.33 70
 
2.4%
0.39 65
 
2.2%
0.32 64
 
2.2%
Other values (123) 1733
59.2%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 186
6.4%
0.01 1
 
< 0.1%
0.02 3
 
0.1%
0.03 2
 
0.1%
0.04 5
 
0.2%
ValueCountFrequency (%)
18.18 1
< 0.1%
4 2
0.1%
3.67 1
< 0.1%
3.57 1
< 0.1%
3.33 1
< 0.1%

Var57
Real number (ℝ)

Missing 

Distinct914
Distinct (%)35.2%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean11.20040769
Minimum0
Maximum71.43
Zeros12
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:20.209355image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.11
Q110.2
median11.675
Q312.93
95-th percentile14.63
Maximum71.43
Range71.43
Interquartile range (IQR)2.73

Descriptive statistics

Standard deviation3.22264071
Coefficient of variation (CV)0.2877253042
Kurtosis49.10629571
Mean11.20040769
Median Absolute Deviation (MAD)1.34
Skewness1.577189047
Sum29121.06
Variance10.38541315
MonotonicityNot monotonic
2025-05-12T09:50:20.346280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12
 
0.4%
11.59 12
 
0.4%
12.6 11
 
0.4%
9.81 11
 
0.4%
11.53 11
 
0.4%
12.13 10
 
0.3%
11.37 10
 
0.3%
10.2 10
 
0.3%
12.3 10
 
0.3%
12.05 10
 
0.3%
Other values (904) 2493
85.2%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 12
0.4%
0.53 1
 
< 0.1%
0.73 1
 
< 0.1%
0.78 1
 
< 0.1%
0.81 1
 
< 0.1%
ValueCountFrequency (%)
71.43 1
< 0.1%
32.26 1
< 0.1%
22.62 1
< 0.1%
22.58 1
< 0.1%
22 1
< 0.1%

Var58
Real number (ℝ)

Missing  Zeros 

Distinct323
Distinct (%)12.4%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean1.596719231
Minimum0
Maximum14.29
Zeros60
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:20.482598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4195
Q11.3
median1.61
Q31.9
95-th percentile2.47
Maximum14.29
Range14.29
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.7327753551
Coefficient of variation (CV)0.4589256151
Kurtosis53.90671169
Mean1.596719231
Median Absolute Deviation (MAD)0.3
Skewness3.823206004
Sum4151.47
Variance0.5369597211
MonotonicityNot monotonic
2025-05-12T09:50:20.623985image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60
 
2.0%
1.74 32
 
1.1%
1.57 30
 
1.0%
1.88 30
 
1.0%
1.87 30
 
1.0%
1.66 29
 
1.0%
1.8 28
 
1.0%
1.68 28
 
1.0%
1.5 27
 
0.9%
1.67 27
 
0.9%
Other values (313) 2279
77.9%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 60
2.0%
0.04 2
 
0.1%
0.06 1
 
< 0.1%
0.07 1
 
< 0.1%
0.08 1
 
< 0.1%
ValueCountFrequency (%)
14.29 1
< 0.1%
11.76 1
< 0.1%
7.69 1
< 0.1%
6.67 1
< 0.1%
6.45 1
< 0.1%

Var59
Real number (ℝ)

Missing  Zeros 

Distinct245
Distinct (%)9.4%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean1.166088462
Minimum0
Maximum14.29
Zeros71
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:20.759232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.26
Q10.94
median1.17
Q31.3725
95-th percentile1.82
Maximum14.29
Range14.29
Interquartile range (IQR)0.4325

Descriptive statistics

Standard deviation0.596929594
Coefficient of variation (CV)0.5119076414
Kurtosis122.6439472
Mean1.166088462
Median Absolute Deviation (MAD)0.22
Skewness6.770789601
Sum3031.83
Variance0.3563249402
MonotonicityNot monotonic
2025-05-12T09:50:20.895473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71
 
2.4%
1.17 45
 
1.5%
1.15 42
 
1.4%
1.19 40
 
1.4%
1.13 38
 
1.3%
1.2 38
 
1.3%
1.14 37
 
1.3%
1.24 37
 
1.3%
1.18 36
 
1.2%
1.3 36
 
1.2%
Other values (235) 2180
74.5%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 71
2.4%
0.03 3
 
0.1%
0.04 1
 
< 0.1%
0.05 1
 
< 0.1%
0.06 3
 
0.1%
ValueCountFrequency (%)
14.29 1
< 0.1%
10.64 1
< 0.1%
6.98 1
< 0.1%
6.25 1
< 0.1%
5.88 2
0.1%

Var60
Real number (ℝ)

Missing  Zeros 

Distinct274
Distinct (%)10.5%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean1.3387
Minimum0
Maximum14.29
Zeros73
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:21.052181image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.18
Q11.06
median1.38
Q31.62
95-th percentile2.06
Maximum14.29
Range14.29
Interquartile range (IQR)0.56

Descriptive statistics

Standard deviation0.7090804449
Coefficient of variation (CV)0.5296783782
Kurtosis86.85141409
Mean1.3387
Median Absolute Deviation (MAD)0.27
Skewness5.646317713
Sum3480.62
Variance0.5027950773
MonotonicityNot monotonic
2025-05-12T09:50:21.195651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 73
 
2.5%
1.28 35
 
1.2%
1.4 35
 
1.2%
1.46 35
 
1.2%
1.43 32
 
1.1%
1.29 32
 
1.1%
1.45 32
 
1.1%
1.37 31
 
1.1%
1.52 31
 
1.1%
1.49 31
 
1.1%
Other values (264) 2233
76.3%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 73
2.5%
0.01 1
 
< 0.1%
0.04 1
 
< 0.1%
0.06 4
 
0.1%
0.07 7
 
0.2%
ValueCountFrequency (%)
14.29 1
< 0.1%
13.33 1
< 0.1%
9.38 1
< 0.1%
8 1
< 0.1%
6.67 2
0.1%

Var61
Real number (ℝ)

Missing  Zeros 

Distinct352
Distinct (%)13.5%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean1.900996154
Minimum0
Maximum12.9
Zeros66
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:21.339535image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.289
Q11.55
median1.96
Q32.34
95-th percentile2.9105
Maximum12.9
Range12.9
Interquartile range (IQR)0.79

Descriptive statistics

Standard deviation0.8096631005
Coefficient of variation (CV)0.4259151702
Kurtosis16.45077833
Mean1.900996154
Median Absolute Deviation (MAD)0.39
Skewness1.209262657
Sum4942.59
Variance0.6555543363
MonotonicityNot monotonic
2025-05-12T09:50:21.480812image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66
 
2.3%
1.94 26
 
0.9%
2.04 25
 
0.9%
1.88 25
 
0.9%
2.36 23
 
0.8%
2.11 23
 
0.8%
2.21 23
 
0.8%
2.16 22
 
0.8%
1.98 22
 
0.8%
1.74 22
 
0.8%
Other values (342) 2323
79.4%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 66
2.3%
0.01 1
 
< 0.1%
0.02 1
 
< 0.1%
0.04 7
 
0.2%
0.05 5
 
0.2%
ValueCountFrequency (%)
12.9 1
< 0.1%
7.81 1
< 0.1%
6.67 2
0.1%
6.45 1
< 0.1%
6 1
< 0.1%

Var62
Real number (ℝ)

Missing  Zeros 

Distinct248
Distinct (%)9.5%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean1.108607692
Minimum0
Maximum12.9
Zeros90
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:21.612631image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.13
Q10.88
median1.13
Q31.34
95-th percentile1.78
Maximum12.9
Range12.9
Interquartile range (IQR)0.46

Descriptive statistics

Standard deviation0.5537339618
Coefficient of variation (CV)0.4994859459
Kurtosis87.08101132
Mean1.108607692
Median Absolute Deviation (MAD)0.23
Skewness4.735506208
Sum2882.38
Variance0.3066213004
MonotonicityNot monotonic
2025-05-12T09:50:21.750547image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 90
 
3.1%
1.21 42
 
1.4%
1.18 40
 
1.4%
1.02 39
 
1.3%
1.2 38
 
1.3%
1.22 37
 
1.3%
1.11 37
 
1.3%
1.25 35
 
1.2%
1.14 34
 
1.2%
1.1 34
 
1.2%
Other values (238) 2174
74.3%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 90
3.1%
0.02 1
 
< 0.1%
0.03 1
 
< 0.1%
0.04 2
 
0.1%
0.05 6
 
0.2%
ValueCountFrequency (%)
12.9 1
< 0.1%
6.67 1
< 0.1%
5.88 1
< 0.1%
4.69 1
< 0.1%
4.5 1
< 0.1%

Var63
Real number (ℝ)

Missing  Zeros 

Distinct153
Distinct (%)5.9%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.46765
Minimum0
Maximum5.88
Zeros149
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:21.900467image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.35
median0.45
Q30.56
95-th percentile0.84
Maximum5.88
Range5.88
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.3093374005
Coefficient of variation (CV)0.6614720422
Kurtosis62.79190799
Mean0.46765
Median Absolute Deviation (MAD)0.1
Skewness5.177226114
Sum1215.89
Variance0.09568962736
MonotonicityNot monotonic
2025-05-12T09:50:22.048338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149
 
5.1%
0.48 78
 
2.7%
0.4 78
 
2.7%
0.47 76
 
2.6%
0.44 75
 
2.6%
0.41 74
 
2.5%
0.46 73
 
2.5%
0.43 72
 
2.5%
0.45 71
 
2.4%
0.38 68
 
2.3%
Other values (143) 1786
61.0%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 149
5.1%
0.02 1
 
< 0.1%
0.03 3
 
0.1%
0.04 4
 
0.1%
0.05 4
 
0.1%
ValueCountFrequency (%)
5.88 1
< 0.1%
4.35 1
< 0.1%
4.08 1
< 0.1%
3.64 1
< 0.1%
3 1
< 0.1%

Var64
Real number (ℝ)

Missing  Zeros 

Distinct399
Distinct (%)15.3%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean2.452369231
Minimum0
Maximum14.29
Zeros49
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:22.202020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.69
Q12.11
median2.51
Q32.88
95-th percentile3.631
Maximum14.29
Range14.29
Interquartile range (IQR)0.77

Descriptive statistics

Standard deviation0.8822848031
Coefficient of variation (CV)0.3597683383
Kurtosis14.50111768
Mean2.452369231
Median Absolute Deviation (MAD)0.39
Skewness0.7505964647
Sum6376.16
Variance0.7784264739
MonotonicityNot monotonic
2025-05-12T09:50:22.347546image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49
 
1.7%
2.68 30
 
1.0%
2.73 28
 
1.0%
2.61 28
 
1.0%
2.87 26
 
0.9%
2.57 25
 
0.9%
2.81 24
 
0.8%
2.53 23
 
0.8%
2.36 23
 
0.8%
2.64 23
 
0.8%
Other values (389) 2321
79.3%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 49
1.7%
0.03 1
 
< 0.1%
0.05 1
 
< 0.1%
0.07 1
 
< 0.1%
0.11 1
 
< 0.1%
ValueCountFrequency (%)
14.29 1
< 0.1%
7.14 1
< 0.1%
6.67 1
< 0.1%
6.45 1
< 0.1%
6.25 1
< 0.1%

Var65
Real number (ℝ)

Missing  Zeros 

Distinct367
Distinct (%)14.1%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean2.020380769
Minimum0
Maximum14.29
Zeros66
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:22.485896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3095
Q11.61
median2.09
Q32.51
95-th percentile3.09
Maximum14.29
Range14.29
Interquartile range (IQR)0.9

Descriptive statistics

Standard deviation0.9091962132
Coefficient of variation (CV)0.4500123081
Kurtosis24.901285
Mean2.020380769
Median Absolute Deviation (MAD)0.45
Skewness1.993141153
Sum5252.99
Variance0.8266377542
MonotonicityNot monotonic
2025-05-12T09:50:22.624983image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66
 
2.3%
2.36 25
 
0.9%
2.12 24
 
0.8%
2.02 23
 
0.8%
2.15 22
 
0.8%
1.9 22
 
0.8%
2.34 22
 
0.8%
1.88 22
 
0.8%
2.23 21
 
0.7%
2.35 21
 
0.7%
Other values (357) 2332
79.7%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 66
2.3%
0.01 1
 
< 0.1%
0.02 1
 
< 0.1%
0.03 2
 
0.1%
0.04 3
 
0.1%
ValueCountFrequency (%)
14.29 1
< 0.1%
13.33 1
< 0.1%
7.81 1
< 0.1%
7.69 1
< 0.1%
7.41 1
< 0.1%

Var66
Real number (ℝ)

Missing  Zeros 

Distinct381
Distinct (%)14.7%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean2.254726923
Minimum0
Maximum10
Zeros51
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:22.769082image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.69
Q11.9
median2.29
Q32.65
95-th percentile3.38
Maximum10
Range10
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.8470436573
Coefficient of variation (CV)0.3756746099
Kurtosis7.692537128
Mean2.254726923
Median Absolute Deviation (MAD)0.37
Skewness0.8330217313
Sum5862.29
Variance0.7174829573
MonotonicityNot monotonic
2025-05-12T09:50:22.917797image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51
 
1.7%
2.34 31
 
1.1%
2.35 26
 
0.9%
2.25 25
 
0.9%
2.14 24
 
0.8%
2.33 24
 
0.8%
2.07 23
 
0.8%
2.43 22
 
0.8%
2.05 22
 
0.8%
2.24 22
 
0.8%
Other values (371) 2330
79.6%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 51
1.7%
0.05 1
 
< 0.1%
0.13 1
 
< 0.1%
0.16 1
 
< 0.1%
0.17 1
 
< 0.1%
ValueCountFrequency (%)
10 1
< 0.1%
8 2
0.1%
7.69 1
< 0.1%
7 1
< 0.1%
6.67 2
0.1%

Var67
Real number (ℝ)

Missing  Zeros 

Distinct238
Distinct (%)9.2%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean1.003380769
Minimum0
Maximum7.5
Zeros87
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:23.073289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.18
Q10.78
median0.98
Q31.19
95-th percentile1.69
Maximum7.5
Range7.5
Interquartile range (IQR)0.41

Descriptive statistics

Standard deviation0.5270849448
Coefficient of variation (CV)0.5253089963
Kurtosis26.7950857
Mean1.003380769
Median Absolute Deviation (MAD)0.21
Skewness3.09506347
Sum2608.79
Variance0.2778185391
MonotonicityNot monotonic
2025-05-12T09:50:23.301439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 87
 
3.0%
0.99 45
 
1.5%
0.92 44
 
1.5%
0.89 44
 
1.5%
1 41
 
1.4%
0.93 41
 
1.4%
1.02 39
 
1.3%
0.96 38
 
1.3%
1.11 38
 
1.3%
0.98 38
 
1.3%
Other values (228) 2145
73.3%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 87
3.0%
0.02 2
 
0.1%
0.03 1
 
< 0.1%
0.04 1
 
< 0.1%
0.06 2
 
0.1%
ValueCountFrequency (%)
7.5 1
< 0.1%
6.67 1
< 0.1%
6.25 1
< 0.1%
5.71 1
< 0.1%
5.14 1
< 0.1%

Var68
Real number (ℝ)

Missing  Zeros 

Distinct171
Distinct (%)6.6%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.5724807692
Minimum0
Maximum5
Zeros150
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:23.507586image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.4
median0.56
Q30.71
95-th percentile1.0605
Maximum5
Range5
Interquartile range (IQR)0.31

Descriptive statistics

Standard deviation0.3579086678
Coefficient of variation (CV)0.6251889793
Kurtosis29.19571082
Mean0.5724807692
Median Absolute Deviation (MAD)0.15
Skewness3.348295419
Sum1488.45
Variance0.1280986145
MonotonicityNot monotonic
2025-05-12T09:50:23.707179image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 150
 
5.1%
0.46 58
 
2.0%
0.58 56
 
1.9%
0.54 55
 
1.9%
0.53 53
 
1.8%
0.66 51
 
1.7%
0.61 51
 
1.7%
0.43 51
 
1.7%
0.65 51
 
1.7%
0.6 49
 
1.7%
Other values (161) 1975
67.5%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 150
5.1%
0.02 2
 
0.1%
0.03 3
 
0.1%
0.04 4
 
0.1%
0.05 4
 
0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4.35 1
 
< 0.1%
4 3
0.1%
3.85 1
 
< 0.1%
3.3 1
 
< 0.1%

Var69
Real number (ℝ)

Missing  Zeros 

Distinct155
Distinct (%)6.0%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.4937692308
Minimum0
Maximum3.85
Zeros158
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:23.911972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.34
median0.47
Q30.61
95-th percentile0.91
Maximum3.85
Range3.85
Interquartile range (IQR)0.27

Descriptive statistics

Standard deviation0.3125350071
Coefficient of variation (CV)0.6329576401
Kurtosis21.41951507
Mean0.4937692308
Median Absolute Deviation (MAD)0.14
Skewness2.966241836
Sum1283.8
Variance0.09767813064
MonotonicityNot monotonic
2025-05-12T09:50:24.115554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 158
 
5.4%
0.44 67
 
2.3%
0.48 62
 
2.1%
0.43 56
 
1.9%
0.52 53
 
1.8%
0.6 53
 
1.8%
0.5 53
 
1.8%
0.46 52
 
1.8%
0.49 52
 
1.8%
0.41 52
 
1.8%
Other values (145) 1942
66.3%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 158
5.4%
0.03 1
 
< 0.1%
0.04 1
 
< 0.1%
0.05 2
 
0.1%
0.06 2
 
0.1%
ValueCountFrequency (%)
3.85 1
< 0.1%
3.57 1
< 0.1%
3.3 1
< 0.1%
3.12 1
< 0.1%
3.07 1
< 0.1%

Var70
Real number (ℝ)

Missing  Zeros 

Distinct441
Distinct (%)17.0%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean2.174923077
Minimum0
Maximum25
Zeros56
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:24.405185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.62
Q11.48
median2.06
Q32.71
95-th percentile3.8905
Maximum25
Range25
Interquartile range (IQR)1.23

Descriptive statistics

Standard deviation1.184357808
Coefficient of variation (CV)0.5445515849
Kurtosis61.5064585
Mean2.174923077
Median Absolute Deviation (MAD)0.61
Skewness4.216059024
Sum5654.8
Variance1.402703418
MonotonicityNot monotonic
2025-05-12T09:50:24.598690image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56
 
1.9%
2.04 24
 
0.8%
1.83 24
 
0.8%
2.13 22
 
0.8%
2.33 19
 
0.6%
2.08 19
 
0.6%
2.49 18
 
0.6%
2.05 18
 
0.6%
2.26 16
 
0.5%
1.69 16
 
0.5%
Other values (431) 2368
80.9%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 56
1.9%
0.13 1
 
< 0.1%
0.18 1
 
< 0.1%
0.23 1
 
< 0.1%
0.24 1
 
< 0.1%
ValueCountFrequency (%)
25 1
< 0.1%
13.33 2
0.1%
10.19 1
< 0.1%
10 1
< 0.1%
9.88 1
< 0.1%

Var71
Real number (ℝ)

Missing  Zeros 

Distinct217
Distinct (%)8.3%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.7120653846
Minimum0
Maximum12.5
Zeros141
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:24.801986image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.41
median0.64
Q30.92
95-th percentile1.44
Maximum12.5
Range12.5
Interquartile range (IQR)0.51

Descriptive statistics

Standard deviation0.5499352541
Coefficient of variation (CV)0.7723100519
Kurtosis101.0984616
Mean0.7120653846
Median Absolute Deviation (MAD)0.25
Skewness6.371905398
Sum1851.37
Variance0.3024287837
MonotonicityNot monotonic
2025-05-12T09:50:25.039081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 141
 
4.8%
0.65 42
 
1.4%
0.59 40
 
1.4%
0.42 35
 
1.2%
0.77 35
 
1.2%
0.61 35
 
1.2%
0.44 34
 
1.2%
0.84 34
 
1.2%
0.64 33
 
1.1%
0.34 32
 
1.1%
Other values (207) 2139
73.1%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 141
4.8%
0.02 1
 
< 0.1%
0.04 1
 
< 0.1%
0.05 1
 
< 0.1%
0.06 5
 
0.2%
ValueCountFrequency (%)
12.5 1
< 0.1%
6.67 2
0.1%
6.06 1
< 0.1%
6 1
< 0.1%
5 1
< 0.1%

Var72
Real number (ℝ)

Missing  Zeros 

Distinct173
Distinct (%)6.7%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.4858846154
Minimum0
Maximum6.67
Zeros156
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:25.283631image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.3
median0.43
Q30.59
95-th percentile1.0405
Maximum6.67
Range6.67
Interquartile range (IQR)0.29

Descriptive statistics

Standard deviation0.384932031
Coefficient of variation (CV)0.7922293047
Kurtosis46.49371115
Mean0.4858846154
Median Absolute Deviation (MAD)0.15
Skewness4.711156263
Sum1263.3
Variance0.1481726685
MonotonicityNot monotonic
2025-05-12T09:50:26.157652image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 156
 
5.3%
0.36 60
 
2.0%
0.41 59
 
2.0%
0.37 56
 
1.9%
0.39 56
 
1.9%
0.38 55
 
1.9%
0.43 54
 
1.8%
0.47 54
 
1.8%
0.26 52
 
1.8%
0.34 52
 
1.8%
Other values (163) 1946
66.5%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 156
5.3%
0.02 1
 
< 0.1%
0.04 4
 
0.1%
0.06 6
 
0.2%
0.07 1
 
< 0.1%
ValueCountFrequency (%)
6.67 1
< 0.1%
5.12 1
< 0.1%
4.08 1
< 0.1%
3.7 1
< 0.1%
3.37 1
< 0.1%

Var73
Real number (ℝ)

Missing  Zeros 

Distinct184
Distinct (%)7.1%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.48315
Minimum0
Maximum12.5
Zeros185
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:26.307686image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.23
median0.4
Q30.65
95-th percentile1.13
Maximum12.5
Range12.5
Interquartile range (IQR)0.42

Descriptive statistics

Standard deviation0.48439071
Coefficient of variation (CV)1.00256796
Kurtosis173.9246736
Mean0.48315
Median Absolute Deviation (MAD)0.19
Skewness8.911317443
Sum1256.19
Variance0.2346343599
MonotonicityNot monotonic
2025-05-12T09:50:26.474764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 185
 
6.3%
0.23 50
 
1.7%
0.4 47
 
1.6%
0.25 44
 
1.5%
0.27 44
 
1.5%
0.33 44
 
1.5%
0.26 43
 
1.5%
0.32 42
 
1.4%
0.31 41
 
1.4%
0.37 40
 
1.4%
Other values (174) 2020
69.0%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 185
6.3%
0.02 3
 
0.1%
0.03 10
 
0.3%
0.04 12
 
0.4%
0.05 8
 
0.3%
ValueCountFrequency (%)
12.5 1
< 0.1%
7.14 1
< 0.1%
6.29 1
< 0.1%
5.22 1
< 0.1%
4.56 1
< 0.1%

Var74
Real number (ℝ)

Missing  Zeros 

Distinct224
Distinct (%)8.6%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.5954576923
Minimum0
Maximum9.26
Zeros160
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:26.610521image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.3
median0.51
Q30.75
95-th percentile1.39
Maximum9.26
Range9.26
Interquartile range (IQR)0.45

Descriptive statistics

Standard deviation0.564258957
Coefficient of variation (CV)0.9476054543
Kurtosis50.91281246
Mean0.5954576923
Median Absolute Deviation (MAD)0.22
Skewness5.263283864
Sum1548.19
Variance0.3183881706
MonotonicityNot monotonic
2025-05-12T09:50:26.762908image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 160
 
5.5%
0.32 47
 
1.6%
0.54 43
 
1.5%
0.39 41
 
1.4%
0.35 39
 
1.3%
0.59 38
 
1.3%
0.57 37
 
1.3%
0.4 37
 
1.3%
0.34 35
 
1.2%
0.42 35
 
1.2%
Other values (214) 2088
71.3%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 160
5.5%
0.02 1
 
< 0.1%
0.03 3
 
0.1%
0.04 3
 
0.1%
0.05 2
 
0.1%
ValueCountFrequency (%)
9.26 1
 
< 0.1%
6.67 3
0.1%
6.17 1
 
< 0.1%
5.45 1
 
< 0.1%
5.4 1
 
< 0.1%

Var75
Real number (ℝ)

Missing 

Distinct932
Distinct (%)35.8%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean11.30073462
Minimum0
Maximum29.49
Zeros7
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:26.904621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.629
Q110.1875
median11.48
Q312.83
95-th percentile15.191
Maximum29.49
Range29.49
Interquartile range (IQR)2.6425

Descriptive statistics

Standard deviation2.87744054
Coefficient of variation (CV)0.2546242026
Kurtosis3.802298061
Mean11.30073462
Median Absolute Deviation (MAD)1.32
Skewness-0.4680704549
Sum29381.91
Variance8.279664062
MonotonicityNot monotonic
2025-05-12T09:50:27.045952image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.35 13
 
0.4%
11.44 12
 
0.4%
11.56 12
 
0.4%
11.65 11
 
0.4%
10.67 10
 
0.3%
10.81 10
 
0.3%
10.25 9
 
0.3%
10.91 9
 
0.3%
11.45 9
 
0.3%
12.26 9
 
0.3%
Other values (922) 2496
85.3%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 7
0.2%
0.6 1
 
< 0.1%
0.77 1
 
< 0.1%
0.9 1
 
< 0.1%
0.92 1
 
< 0.1%
ValueCountFrequency (%)
29.49 1
< 0.1%
25.64 1
< 0.1%
25.11 1
< 0.1%
25 1
< 0.1%
24.1 1
< 0.1%

Var76
Real number (ℝ)

Missing  Zeros 

Distinct305
Distinct (%)11.7%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean1.490696154
Minimum0
Maximum12.16
Zeros64
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:27.190464image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.33
Q11.25
median1.5
Q31.74
95-th percentile2.3105
Maximum12.16
Range12.16
Interquartile range (IQR)0.49

Descriptive statistics

Standard deviation0.6613289639
Coefficient of variation (CV)0.443637667
Kurtosis43.94817664
Mean1.490696154
Median Absolute Deviation (MAD)0.24
Skewness3.405560472
Sum3875.81
Variance0.4373559984
MonotonicityNot monotonic
2025-05-12T09:50:27.339723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64
 
2.2%
1.53 41
 
1.4%
1.54 36
 
1.2%
1.5 36
 
1.2%
1.6 35
 
1.2%
1.48 35
 
1.2%
1.4 35
 
1.2%
1.43 34
 
1.2%
1.38 34
 
1.2%
1.42 33
 
1.1%
Other values (295) 2217
75.7%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 64
2.2%
0.06 1
 
< 0.1%
0.07 1
 
< 0.1%
0.08 1
 
< 0.1%
0.09 2
 
0.1%
ValueCountFrequency (%)
12.16 1
< 0.1%
10 1
< 0.1%
7.69 1
< 0.1%
6.45 1
< 0.1%
6.41 1
< 0.1%

Var77
Real number (ℝ)

Missing 

Distinct559
Distinct (%)21.5%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean4.778153846
Minimum0
Maximum16.67
Zeros26
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:27.509902image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.3395
Q14.28
median4.86
Q35.4325
95-th percentile6.58
Maximum16.67
Range16.67
Interquartile range (IQR)1.1525

Descriptive statistics

Standard deviation1.33700085
Coefficient of variation (CV)0.2798153624
Kurtosis6.95001957
Mean4.778153846
Median Absolute Deviation (MAD)0.58
Skewness0.07586580877
Sum12423.2
Variance1.787571273
MonotonicityNot monotonic
2025-05-12T09:50:27.648209image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26
 
0.9%
4.98 20
 
0.7%
5.11 18
 
0.6%
4.5 18
 
0.6%
5.08 18
 
0.6%
5.19 18
 
0.6%
4.82 17
 
0.6%
5.17 17
 
0.6%
4.53 17
 
0.6%
4.96 17
 
0.6%
Other values (549) 2414
82.5%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 26
0.9%
0.16 1
 
< 0.1%
0.23 1
 
< 0.1%
0.36 1
 
< 0.1%
0.39 1
 
< 0.1%
ValueCountFrequency (%)
16.67 1
< 0.1%
14.29 1
< 0.1%
13.33 1
< 0.1%
12.5 1
< 0.1%
11.83 1
< 0.1%

Var78
Real number (ℝ)

Missing 

Distinct675
Distinct (%)26.0%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean5.12055
Minimum0
Maximum23.08
Zeros19
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:27.781108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.84
Q14.3375
median5.15
Q35.97
95-th percentile7.6405
Maximum23.08
Range23.08
Interquartile range (IQR)1.6325

Descriptive statistics

Standard deviation1.788035921
Coefficient of variation (CV)0.3491882554
Kurtosis9.940131206
Mean5.12055
Median Absolute Deviation (MAD)0.82
Skewness0.9903959711
Sum13313.43
Variance3.197072456
MonotonicityNot monotonic
2025-05-12T09:50:27.904245image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19
 
0.6%
4.74 16
 
0.5%
5.01 16
 
0.5%
5.04 15
 
0.5%
5.15 14
 
0.5%
4.44 14
 
0.5%
5.14 14
 
0.5%
4.83 14
 
0.5%
5.38 14
 
0.5%
5.3 13
 
0.4%
Other values (665) 2451
83.7%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 19
0.6%
0.27 1
 
< 0.1%
0.33 1
 
< 0.1%
0.35 1
 
< 0.1%
0.41 1
 
< 0.1%
ValueCountFrequency (%)
23.08 1
< 0.1%
19.44 1
< 0.1%
18.75 1
< 0.1%
17.95 1
< 0.1%
16 1
< 0.1%

Var79
Real number (ℝ)

Missing  Zeros 

Distinct380
Distinct (%)14.6%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean1.625853846
Minimum0
Maximum14.29
Zeros55
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:28.051869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5395
Q11.12
median1.47
Q31.95
95-th percentile3.1405
Maximum14.29
Range14.29
Interquartile range (IQR)0.83

Descriptive statistics

Standard deviation0.9540190808
Coefficient of variation (CV)0.586780345
Kurtosis30.73073885
Mean1.625853846
Median Absolute Deviation (MAD)0.4
Skewness3.592888068
Sum4227.22
Variance0.9101524065
MonotonicityNot monotonic
2025-05-12T09:50:28.192217image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55
 
1.9%
1.1 27
 
0.9%
1.28 26
 
0.9%
1.43 25
 
0.9%
1.35 23
 
0.8%
1.33 22
 
0.8%
1.63 22
 
0.8%
1.15 22
 
0.8%
1.62 22
 
0.8%
1.52 21
 
0.7%
Other values (370) 2335
79.8%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 55
1.9%
0.13 1
 
< 0.1%
0.17 1
 
< 0.1%
0.18 1
 
< 0.1%
0.19 2
 
0.1%
ValueCountFrequency (%)
14.29 1
< 0.1%
12.5 1
< 0.1%
11.76 1
< 0.1%
10.12 1
< 0.1%
9.3 1
< 0.1%

Var80
Real number (ℝ)

Missing  Zeros 

Distinct317
Distinct (%)12.2%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean1.450357692
Minimum0
Maximum14.29
Zeros63
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:28.321442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4895
Q11.15
median1.39
Q31.67
95-th percentile2.4205
Maximum14.29
Range14.29
Interquartile range (IQR)0.52

Descriptive statistics

Standard deviation0.7374353631
Coefficient of variation (CV)0.5084506856
Kurtosis76.27640375
Mean1.450357692
Median Absolute Deviation (MAD)0.26
Skewness5.432236427
Sum3770.93
Variance0.5438109147
MonotonicityNot monotonic
2025-05-12T09:50:28.473527image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63
 
2.2%
1.3 35
 
1.2%
1.32 35
 
1.2%
1.18 34
 
1.2%
1.22 33
 
1.1%
1.43 33
 
1.1%
1.27 33
 
1.1%
1.33 32
 
1.1%
1.35 32
 
1.1%
1.52 31
 
1.1%
Other values (307) 2239
76.5%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 63
2.2%
0.14 1
 
< 0.1%
0.15 1
 
< 0.1%
0.17 1
 
< 0.1%
0.19 3
 
0.1%
ValueCountFrequency (%)
14.29 1
< 0.1%
13.89 1
< 0.1%
9.65 1
< 0.1%
7.01 1
< 0.1%
6.23 1
< 0.1%

Var81
Real number (ℝ)

Missing  Zeros 

Distinct352
Distinct (%)13.5%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean1.768303846
Minimum0
Maximum12.5
Zeros58
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:28.611422image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6995
Q11.35
median1.7
Q32.08
95-th percentile2.9505
Maximum12.5
Range12.5
Interquartile range (IQR)0.73

Descriptive statistics

Standard deviation0.8331387686
Coefficient of variation (CV)0.4711513637
Kurtosis36.23854457
Mean1.768303846
Median Absolute Deviation (MAD)0.37
Skewness3.51558496
Sum4597.59
Variance0.6941202078
MonotonicityNot monotonic
2025-05-12T09:50:28.778421image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58
 
2.0%
1.48 28
 
1.0%
1.92 27
 
0.9%
1.56 26
 
0.9%
1.61 26
 
0.9%
1.74 26
 
0.9%
1.6 25
 
0.9%
1.75 25
 
0.9%
1.79 24
 
0.8%
1.47 23
 
0.8%
Other values (342) 2312
79.0%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 58
2.0%
0.16 1
 
< 0.1%
0.25 1
 
< 0.1%
0.29 1
 
< 0.1%
0.32 1
 
< 0.1%
ValueCountFrequency (%)
12.5 3
0.1%
8.93 1
 
< 0.1%
6.76 1
 
< 0.1%
6.45 1
 
< 0.1%
6.26 1
 
< 0.1%

Var82
Real number (ℝ)

Missing  Zeros 

Distinct156
Distinct (%)6.0%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.4259461538
Minimum0
Maximum16.67
Zeros183
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:28.915475image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median0.36
Q30.52
95-th percentile0.9
Maximum16.67
Range16.67
Interquartile range (IQR)0.27

Descriptive statistics

Standard deviation0.5275528353
Coefficient of variation (CV)1.238543488
Kurtosis467.0354892
Mean0.4259461538
Median Absolute Deviation (MAD)0.13
Skewness17.700849
Sum1107.46
Variance0.278311994
MonotonicityNot monotonic
2025-05-12T09:50:29.069577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 183
 
6.3%
0.28 64
 
2.2%
0.35 64
 
2.2%
0.29 63
 
2.2%
0.32 61
 
2.1%
0.33 59
 
2.0%
0.27 58
 
2.0%
0.31 57
 
1.9%
0.36 55
 
1.9%
0.37 55
 
1.9%
Other values (146) 1881
64.3%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 183
6.3%
0.03 1
 
< 0.1%
0.04 5
 
0.2%
0.05 2
 
0.1%
0.06 6
 
0.2%
ValueCountFrequency (%)
16.67 1
< 0.1%
12.5 1
< 0.1%
6.67 1
< 0.1%
6.25 1
< 0.1%
5.13 1
< 0.1%

Var83
Real number (ℝ)

Missing  Zeros 

Distinct218
Distinct (%)8.4%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.7044461538
Minimum0
Maximum9.3
Zeros111
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:29.216865image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.13
Q10.45
median0.63
Q30.85
95-th percentile1.42
Maximum9.3
Range9.3
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.5228975574
Coefficient of variation (CV)0.7422817976
Kurtosis63.33023786
Mean0.7044461538
Median Absolute Deviation (MAD)0.19
Skewness5.576130136
Sum1831.56
Variance0.2734218555
MonotonicityNot monotonic
2025-05-12T09:50:29.359049image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 111
 
3.8%
0.58 48
 
1.6%
0.6 46
 
1.6%
0.56 44
 
1.5%
0.62 43
 
1.5%
0.68 42
 
1.4%
0.5 41
 
1.4%
0.67 39
 
1.3%
0.65 37
 
1.3%
0.61 37
 
1.3%
Other values (208) 2112
72.2%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 111
3.8%
0.05 1
 
< 0.1%
0.07 2
 
0.1%
0.08 3
 
0.1%
0.09 2
 
0.1%
ValueCountFrequency (%)
9.3 1
< 0.1%
8 1
< 0.1%
7.27 1
< 0.1%
5.41 2
0.1%
4.76 1
< 0.1%

Var84
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct149
Distinct (%)5.7%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.3613730769
Minimum0
Maximum18.18
Zeros209
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:29.511102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.2
median0.31
Q30.44
95-th percentile0.7905
Maximum18.18
Range18.18
Interquartile range (IQR)0.24

Descriptive statistics

Standard deviation0.461729938
Coefficient of variation (CV)1.277709845
Kurtosis861.6212789
Mean0.3613730769
Median Absolute Deviation (MAD)0.12
Skewness23.44126613
Sum939.57
Variance0.2131945356
MonotonicityNot monotonic
2025-05-12T09:50:29.660099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 209
 
7.1%
0.3 69
 
2.4%
0.29 65
 
2.2%
0.27 63
 
2.2%
0.31 61
 
2.1%
0.39 60
 
2.0%
0.24 59
 
2.0%
0.35 59
 
2.0%
0.41 59
 
2.0%
0.28 59
 
2.0%
Other values (139) 1837
62.8%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 209
7.1%
0.02 1
 
< 0.1%
0.03 1
 
< 0.1%
0.04 9
 
0.3%
0.05 11
 
0.4%
ValueCountFrequency (%)
18.18 1
< 0.1%
4.82 1
< 0.1%
4.25 1
< 0.1%
4.01 1
< 0.1%
3.69 1
< 0.1%

Var85
Real number (ℝ)

Missing  Zeros 

Distinct111
Distinct (%)4.3%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.1927192308
Minimum0
Maximum4.88
Zeros329
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:29.803913image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.09
median0.16
Q30.24
95-th percentile0.48
Maximum4.88
Range4.88
Interquartile range (IQR)0.15

Descriptive statistics

Standard deviation0.2174410226
Coefficient of variation (CV)1.128278801
Kurtosis101.4158588
Mean0.1927192308
Median Absolute Deviation (MAD)0.08
Skewness6.892887943
Sum501.07
Variance0.04728059832
MonotonicityNot monotonic
2025-05-12T09:50:29.949570image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 329
 
11.2%
0.12 115
 
3.9%
0.11 109
 
3.7%
0.15 108
 
3.7%
0.14 98
 
3.3%
0.1 94
 
3.2%
0.16 93
 
3.2%
0.17 91
 
3.1%
0.13 88
 
3.0%
0.19 85
 
2.9%
Other values (101) 1390
47.5%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 329
11.2%
0.01 1
 
< 0.1%
0.02 22
 
0.8%
0.03 22
 
0.8%
0.04 29
 
1.0%
ValueCountFrequency (%)
4.88 1
< 0.1%
2.39 1
< 0.1%
2.22 1
< 0.1%
2.04 1
< 0.1%
2 1
< 0.1%

Var86
Real number (ℝ)

Missing  Zeros 

Distinct254
Distinct (%)9.8%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.7797807692
Minimum0
Maximum4.85
Zeros138
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:30.090946image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.42
median0.685
Q31.02
95-th percentile1.8205
Maximum4.85
Range4.85
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.5500075116
Coefficient of variation (CV)0.7053360807
Kurtosis4.978485661
Mean0.7797807692
Median Absolute Deviation (MAD)0.285
Skewness1.602104763
Sum2027.43
Variance0.3025082628
MonotonicityNot monotonic
2025-05-12T09:50:30.234942image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 138
 
4.7%
0.43 38
 
1.3%
0.48 34
 
1.2%
0.71 30
 
1.0%
0.47 30
 
1.0%
0.5 29
 
1.0%
0.44 28
 
1.0%
0.64 28
 
1.0%
0.85 28
 
1.0%
0.6 27
 
0.9%
Other values (244) 2190
74.8%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 138
4.7%
0.05 1
 
< 0.1%
0.06 2
 
0.1%
0.07 4
 
0.1%
0.08 7
 
0.2%
ValueCountFrequency (%)
4.85 1
< 0.1%
4.43 1
< 0.1%
4.37 1
< 0.1%
3.84 1
< 0.1%
3.57 1
< 0.1%

Var87
Real number (ℝ)

Missing  Zeros 

Distinct108
Distinct (%)4.2%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.2132307692
Minimum0
Maximum4.92
Zeros288
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:30.369815image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.11
median0.18
Q30.27
95-th percentile0.49
Maximum4.92
Range4.92
Interquartile range (IQR)0.16

Descriptive statistics

Standard deviation0.2373565961
Coefficient of variation (CV)1.11314421
Kurtosis134.1653998
Mean0.2132307692
Median Absolute Deviation (MAD)0.08
Skewness8.92983498
Sum554.4
Variance0.05633815373
MonotonicityNot monotonic
2025-05-12T09:50:30.519285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 288
 
9.8%
0.17 121
 
4.1%
0.13 95
 
3.2%
0.12 93
 
3.2%
0.11 87
 
3.0%
0.18 86
 
2.9%
0.16 84
 
2.9%
0.15 83
 
2.8%
0.19 81
 
2.8%
0.22 80
 
2.7%
Other values (98) 1502
51.3%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 288
9.8%
0.01 2
 
0.1%
0.02 8
 
0.3%
0.03 18
 
0.6%
0.04 20
 
0.7%
ValueCountFrequency (%)
4.92 1
< 0.1%
4.08 1
< 0.1%
3.85 1
< 0.1%
3.39 1
< 0.1%
3.12 1
< 0.1%

Var88
Real number (ℝ)

Missing  Zeros 

Distinct100
Distinct (%)3.8%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.2367961538
Minimum0
Maximum6.67
Zeros281
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:30.648711image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.14
median0.22
Q30.31
95-th percentile0.48
Maximum6.67
Range6.67
Interquartile range (IQR)0.17

Descriptive statistics

Standard deviation0.2309346751
Coefficient of variation (CV)0.9752467315
Kurtosis277.3985028
Mean0.2367961538
Median Absolute Deviation (MAD)0.09
Skewness11.93000843
Sum615.67
Variance0.05333082415
MonotonicityNot monotonic
2025-05-12T09:50:30.795434image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 281
 
9.6%
0.2 90
 
3.1%
0.27 86
 
2.9%
0.21 85
 
2.9%
0.22 84
 
2.9%
0.17 82
 
2.8%
0.24 82
 
2.8%
0.26 81
 
2.8%
0.16 78
 
2.7%
0.15 77
 
2.6%
Other values (90) 1574
53.8%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 281
9.6%
0.01 10
 
0.3%
0.02 17
 
0.6%
0.03 20
 
0.7%
0.04 21
 
0.7%
ValueCountFrequency (%)
6.67 1
< 0.1%
4.17 1
< 0.1%
3.03 1
< 0.1%
2.56 1
< 0.1%
1.84 1
< 0.1%

Var89
Real number (ℝ)

Missing 

Distinct1113
Distinct (%)42.8%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean10.01369615
Minimum0
Maximum86.3
Zeros16
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:30.941294image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.377
Q17.86
median9.76
Q311.68
95-th percentile15.813
Maximum86.3
Range86.3
Interquartile range (IQR)3.82

Descriptive statistics

Standard deviation4.322893751
Coefficient of variation (CV)0.4316981147
Kurtosis61.73790031
Mean10.01369615
Median Absolute Deviation (MAD)1.91
Skewness4.696740201
Sum26035.61
Variance18.68741038
MonotonicityNot monotonic
2025-05-12T09:50:31.079096image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16
 
0.5%
7.69 10
 
0.3%
9.6 10
 
0.3%
9.47 9
 
0.3%
10.67 8
 
0.3%
8.77 8
 
0.3%
9.7 8
 
0.3%
9.5 8
 
0.3%
9.46 8
 
0.3%
9.52 7
 
0.2%
Other values (1103) 2508
85.7%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 16
0.5%
0.55 1
 
< 0.1%
1.16 1
 
< 0.1%
1.53 1
 
< 0.1%
1.57 1
 
< 0.1%
ValueCountFrequency (%)
86.3 1
< 0.1%
70.37 1
< 0.1%
53.56 1
< 0.1%
44.22 1
< 0.1%
42.86 1
< 0.1%

Var90
Real number (ℝ)

Missing  Zeros 

Distinct532
Distinct (%)20.5%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean2.674473077
Minimum0
Maximum90.41
Zeros47
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:31.218474image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.72
Q11.75
median2.495
Q33.27
95-th percentile4.6605
Maximum90.41
Range90.41
Interquartile range (IQR)1.52

Descriptive statistics

Standard deviation2.572783115
Coefficient of variation (CV)0.9619775714
Kurtosis581.2111353
Mean2.674473077
Median Absolute Deviation (MAD)0.765
Skewness19.6415713
Sum6953.63
Variance6.619212958
MonotonicityNot monotonic
2025-05-12T09:50:31.356302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47
 
1.6%
2.81 17
 
0.6%
2.8 16
 
0.5%
2.27 15
 
0.5%
2.88 15
 
0.5%
2.74 14
 
0.5%
1.86 14
 
0.5%
1.94 14
 
0.5%
2.84 14
 
0.5%
3.21 14
 
0.5%
Other values (522) 2420
82.7%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 47
1.6%
0.07 2
 
0.1%
0.14 1
 
< 0.1%
0.15 1
 
< 0.1%
0.17 1
 
< 0.1%
ValueCountFrequency (%)
90.41 1
< 0.1%
46.42 1
< 0.1%
37.85 1
< 0.1%
35.62 1
< 0.1%
31.35 1
< 0.1%

Var91
Real number (ℝ)

Missing  Zeros 

Distinct824
Distinct (%)31.7%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean3.840953846
Minimum0
Maximum32.88
Zeros42
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:31.489370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.89
Q12.1275
median3.36
Q35.0225
95-th percentile8.211
Maximum32.88
Range32.88
Interquartile range (IQR)2.895

Descriptive statistics

Standard deviation2.476618653
Coefficient of variation (CV)0.6447926094
Kurtosis11.47921177
Mean3.840953846
Median Absolute Deviation (MAD)1.38
Skewness1.983169894
Sum9986.48
Variance6.133639952
MonotonicityNot monotonic
2025-05-12T09:50:31.644001image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42
 
1.4%
2.43 14
 
0.5%
2.86 11
 
0.4%
2.65 11
 
0.4%
2.4 11
 
0.4%
2.52 11
 
0.4%
2.96 11
 
0.4%
1.61 11
 
0.4%
1.84 10
 
0.3%
2.79 10
 
0.3%
Other values (814) 2458
84.0%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 42
1.4%
0.17 1
 
< 0.1%
0.18 1
 
< 0.1%
0.2 2
 
0.1%
0.21 2
 
0.1%
ValueCountFrequency (%)
32.88 1
< 0.1%
25.76 1
< 0.1%
18.64 1
< 0.1%
17.29 1
< 0.1%
15.31 1
< 0.1%

Var92
Real number (ℝ)

Missing  Zeros 

Distinct171
Distinct (%)6.6%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.2686192308
Minimum0
Maximum16.13
Zeros413
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:31.780232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.05
median0.15
Q30.35
95-th percentile0.9
Maximum16.13
Range16.13
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.4617264151
Coefficient of variation (CV)1.718888159
Kurtosis538.8098484
Mean0.2686192308
Median Absolute Deviation (MAD)0.13
Skewness16.7868548
Sum698.41
Variance0.2131912824
MonotonicityNot monotonic
2025-05-12T09:50:31.943317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 413
 
14.1%
0.07 82
 
2.8%
0.08 78
 
2.7%
0.09 77
 
2.6%
0.05 67
 
2.3%
0.06 65
 
2.2%
0.04 63
 
2.2%
0.12 62
 
2.1%
0.1 62
 
2.1%
0.11 61
 
2.1%
Other values (161) 1570
53.6%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 413
14.1%
0.01 21
 
0.7%
0.02 44
 
1.5%
0.03 60
 
2.0%
0.04 63
 
2.2%
ValueCountFrequency (%)
16.13 1
< 0.1%
3.62 1
< 0.1%
2.82 1
< 0.1%
2.77 1
< 0.1%
2.58 1
< 0.1%

Var93
Real number (ℝ)

Missing  Zeros 

Distinct311
Distinct (%)12.0%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean1.287746154
Minimum0
Maximum14
Zeros95
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:32.084472image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.31
Q10.87
median1.2
Q31.59
95-th percentile2.43
Maximum14
Range14
Interquartile range (IQR)0.72

Descriptive statistics

Standard deviation0.781928485
Coefficient of variation (CV)0.6072070048
Kurtosis48.63801549
Mean1.287746154
Median Absolute Deviation (MAD)0.35
Skewness4.200903759
Sum3348.14
Variance0.6114121556
MonotonicityNot monotonic
2025-05-12T09:50:32.226577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 95
 
3.2%
1.12 32
 
1.1%
0.98 30
 
1.0%
1.02 29
 
1.0%
1.01 27
 
0.9%
1.14 26
 
0.9%
0.68 25
 
0.9%
1.43 25
 
0.9%
1.33 25
 
0.9%
1.32 24
 
0.8%
Other values (301) 2262
77.3%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 95
3.2%
0.09 1
 
< 0.1%
0.12 1
 
< 0.1%
0.13 1
 
< 0.1%
0.17 1
 
< 0.1%
ValueCountFrequency (%)
14 1
< 0.1%
12.33 1
< 0.1%
8.12 1
< 0.1%
6.98 1
< 0.1%
6.95 1
< 0.1%

Var94
Real number (ℝ)

Missing  Zeros 

Distinct728
Distinct (%)28.0%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean2.80375
Minimum0
Maximum34.95
Zeros54
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:32.364416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.37
Q11.1575
median2.11
Q33.6225
95-th percentile7.54
Maximum34.95
Range34.95
Interquartile range (IQR)2.465

Descriptive statistics

Standard deviation2.6691181
Coefficient of variation (CV)0.9519814892
Kurtosis22.24586641
Mean2.80375
Median Absolute Deviation (MAD)1.09
Skewness3.429128218
Sum7289.75
Variance7.124191434
MonotonicityNot monotonic
2025-05-12T09:50:32.510191image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54
 
1.8%
1.13 16
 
0.5%
1.6 15
 
0.5%
1.07 13
 
0.4%
1.02 12
 
0.4%
1.44 12
 
0.4%
1.41 12
 
0.4%
0.68 12
 
0.4%
1.8 12
 
0.4%
1.52 11
 
0.4%
Other values (718) 2431
83.1%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 54
1.8%
0.02 1
 
< 0.1%
0.06 1
 
< 0.1%
0.08 2
 
0.1%
0.09 1
 
< 0.1%
ValueCountFrequency (%)
34.95 1
< 0.1%
29.41 1
< 0.1%
27.27 1
< 0.1%
25 1
< 0.1%
23.13 1
< 0.1%

Var95
Real number (ℝ)

Missing  Zeros 

Distinct383
Distinct (%)14.7%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean1.198580769
Minimum0
Maximum38.36
Zeros119
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:32.667175image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0895
Q10.55
median0.95
Q31.54
95-th percentile2.93
Maximum38.36
Range38.36
Interquartile range (IQR)0.99

Descriptive statistics

Standard deviation1.27167691
Coefficient of variation (CV)1.060985578
Kurtosis291.7330965
Mean1.198580769
Median Absolute Deviation (MAD)0.47
Skewness11.50184233
Sum3116.31
Variance1.617162164
MonotonicityNot monotonic
2025-05-12T09:50:32.820797image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 119
 
4.1%
0.76 23
 
0.8%
0.66 23
 
0.8%
0.29 22
 
0.8%
0.46 21
 
0.7%
0.81 21
 
0.7%
0.62 21
 
0.7%
0.58 21
 
0.7%
0.84 20
 
0.7%
0.44 20
 
0.7%
Other values (373) 2289
78.2%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 119
4.1%
0.04 1
 
< 0.1%
0.05 3
 
0.1%
0.06 1
 
< 0.1%
0.07 2
 
0.1%
ValueCountFrequency (%)
38.36 1
< 0.1%
15.44 1
< 0.1%
11.78 1
< 0.1%
11.64 1
< 0.1%
9.09 1
< 0.1%

Var96
Real number (ℝ)

Missing  Zeros 

Distinct305
Distinct (%)11.7%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.806
Minimum0
Maximum30.14
Zeros243
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:32.961101image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.28
median0.62
Q31.07
95-th percentile2.0905
Maximum30.14
Range30.14
Interquartile range (IQR)0.79

Descriptive statistics

Standard deviation1.02642193
Coefficient of variation (CV)1.27347634
Kurtosis296.401188
Mean0.806
Median Absolute Deviation (MAD)0.38
Skewness12.25406787
Sum2095.6
Variance1.053541978
MonotonicityNot monotonic
2025-05-12T09:50:33.103321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 243
 
8.3%
0.45 29
 
1.0%
0.43 26
 
0.9%
0.41 26
 
0.9%
0.13 26
 
0.9%
0.28 25
 
0.9%
0.59 25
 
0.9%
0.57 25
 
0.9%
0.4 24
 
0.8%
0.81 24
 
0.8%
Other values (295) 2127
72.7%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 243
8.3%
0.01 3
 
0.1%
0.02 4
 
0.1%
0.03 9
 
0.3%
0.04 9
 
0.3%
ValueCountFrequency (%)
30.14 1
< 0.1%
18.75 1
< 0.1%
9.19 1
< 0.1%
7.39 1
< 0.1%
6.78 1
< 0.1%

Var97
Real number (ℝ)

Missing  Zeros 

Distinct519
Distinct (%)20.0%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean2.8044
Minimum0
Maximum12.5
Zeros49
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:33.255406image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.759
Q12.02
median2.835
Q33.63
95-th percentile4.68
Maximum12.5
Range12.5
Interquartile range (IQR)1.61

Descriptive statistics

Standard deviation1.241657883
Coefficient of variation (CV)0.4427534886
Kurtosis1.869052364
Mean2.8044
Median Absolute Deviation (MAD)0.805
Skewness0.2891254175
Sum7291.44
Variance1.541714299
MonotonicityNot monotonic
2025-05-12T09:50:33.394819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49
 
1.7%
3.57 16
 
0.5%
3.02 15
 
0.5%
3.14 15
 
0.5%
3.07 15
 
0.5%
2.71 15
 
0.5%
1.67 14
 
0.5%
2.76 14
 
0.5%
3.12 14
 
0.5%
2.25 13
 
0.4%
Other values (509) 2420
82.7%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 49
1.7%
0.05 1
 
< 0.1%
0.08 1
 
< 0.1%
0.12 2
 
0.1%
0.13 1
 
< 0.1%
ValueCountFrequency (%)
12.5 1
< 0.1%
10 1
< 0.1%
8.7 1
< 0.1%
7.69 2
0.1%
7.17 1
< 0.1%

Var98
Real number (ℝ)

Missing  Zeros 

Distinct203
Distinct (%)7.8%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean0.4399153846
Minimum0
Maximum14.81
Zeros238
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:33.534998image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.18
median0.33
Q30.53
95-th percentile1.19
Maximum14.81
Range14.81
Interquartile range (IQR)0.35

Descriptive statistics

Standard deviation0.5908385409
Coefficient of variation (CV)1.343073149
Kurtosis173.7261706
Mean0.4399153846
Median Absolute Deviation (MAD)0.17
Skewness9.717398157
Sum1143.78
Variance0.3490901814
MonotonicityNot monotonic
2025-05-12T09:50:33.688604image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 238
 
8.1%
0.32 56
 
1.9%
0.35 55
 
1.9%
0.2 55
 
1.9%
0.42 51
 
1.7%
0.25 49
 
1.7%
0.22 48
 
1.6%
0.24 47
 
1.6%
0.28 47
 
1.6%
0.36 44
 
1.5%
Other values (193) 1910
65.3%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 238
8.1%
0.02 2
 
0.1%
0.03 9
 
0.3%
0.04 9
 
0.3%
0.05 14
 
0.5%
ValueCountFrequency (%)
14.81 1
< 0.1%
8.87 1
< 0.1%
8.22 1
< 0.1%
5.73 1
< 0.1%
5.59 1
< 0.1%

Var99
Real number (ℝ)

Missing 

Distinct1394
Distinct (%)53.6%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean13.08205769
Minimum0
Maximum100
Zeros12
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:33.836103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.269
Q19.39
median12.45
Q315.85
95-th percentile23.101
Maximum100
Range100
Interquartile range (IQR)6.46

Descriptive statistics

Standard deviation6.178865507
Coefficient of variation (CV)0.4723160264
Kurtosis31.88304105
Mean13.08205769
Median Absolute Deviation (MAD)3.19
Skewness3.135496319
Sum34013.35
Variance38.17837895
MonotonicityNot monotonic
2025-05-12T09:50:33.975667image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12
 
0.4%
12.1 8
 
0.3%
11.85 7
 
0.2%
15.52 7
 
0.2%
11.71 7
 
0.2%
9.09 7
 
0.2%
13.15 6
 
0.2%
10.95 6
 
0.2%
9.9 6
 
0.2%
12.15 6
 
0.2%
Other values (1384) 2528
86.4%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 12
0.4%
0.83 1
 
< 0.1%
0.86 1
 
< 0.1%
0.99 1
 
< 0.1%
1.01 1
 
< 0.1%
ValueCountFrequency (%)
100 1
< 0.1%
96.91 1
< 0.1%
65.68 1
< 0.1%
49.58 1
< 0.1%
48.47 1
< 0.1%

Var100
Real number (ℝ)

Missing 

Distinct1764
Distinct (%)67.8%
Missing327
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean39.98421923
Minimum0
Maximum352.05
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2025-05-12T09:50:34.123642image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26.0575
Q133.75
median38.755
Q344.5125
95-th percentile54.992
Maximum352.05
Range352.05
Interquartile range (IQR)10.7625

Descriptive statistics

Standard deviation13.2455302
Coefficient of variation (CV)0.3312689469
Kurtosis155.8143048
Mean39.98421923
Median Absolute Deviation (MAD)5.405
Skewness8.508060753
Sum103958.97
Variance175.4440702
MonotonicityNot monotonic
2025-05-12T09:50:34.270398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42.45 6
 
0.2%
37.98 6
 
0.2%
39.35 6
 
0.2%
40.61 5
 
0.2%
43.87 5
 
0.2%
41.43 5
 
0.2%
42.34 5
 
0.2%
39.28 5
 
0.2%
36.59 5
 
0.2%
40.28 5
 
0.2%
Other values (1754) 2547
87.0%
(Missing) 327
 
11.2%
ValueCountFrequency (%)
0 1
< 0.1%
5.88 1
< 0.1%
6.67 1
< 0.1%
10.83 1
< 0.1%
11.92 1
< 0.1%
ValueCountFrequency (%)
352.05 1
< 0.1%
228.07 1
< 0.1%
204.9 1
< 0.1%
192.8 1
< 0.1%
170.68 1
< 0.1%